【论文】 在国内外高水平学术会议和期刊上发表论文124篇,其中全球顶级卫星导航会议(ION GNSS)4篇,美国生物医学工程年会(BMES 2017 Annual Meeting)Postal Presentation 4篇,SCI收录21篇,EI收录46篇;其中SCI论文如下: [1] Li DA, Zhou J , Zhao J , et al. J Wave Autodetection Using Analytic Time-Frequency Flexible Wavelet Transformation Applied on ECG Signals[J]. 2018.(收录号:WOS:000434820300001) [2] Li D, Liu X, Zhao J, et al. Autodetection of J Wave Based on Random Forest with Synchrosqueezed Wavelet Transform[J]. BioMed research international, 2018.(收录号:WOS:000437699800001) [3] Li D, Wu G, Zhao J, et al. A novel method based on MapReduce to extract auxiliary information for GNSS receivers[J]. Concurrency and Computation: Practice and Experience, 2017, 29(6).(收录号:WOS:000398035700012) [4] Li D, Liu J, Zhao J, et al. An improved space-time joint anti-jamming algorithm based on variable step LMS[J]. Tsinghua Science and Technology, 2017, 22(5): 520-528.(收录号:WOS:000398035700012) [5] Li D, Lv J, Zhao J, et al. An effective way of J wave separation based on multilayer NMF[J]. Computational and mathematical methods in medicine, 2014, 2014.(收录号:WOS:000344656800001) [6] Deng-Ao Li,Yuan Chen and Ju-Min Zhao. Feature Extraction for Identifying in J Wave in Ecg Based on Wavelet[J]. EXPERIMENTAL&CLINICAL CARDIOLOGY, Volume 20,Issue 9,2014.(收录号:WOS:000363949100037) [7] Li D, Zhao J, Liu H, et al. The Application of FastICA Combined with Related Function in Blind Signal Separation[J]. Mathematical Problems in Engineering,2014,(2014-4-3), 2014, 2014(4):1-9.(收录号WOS:000334248500001) [8] Zhao J, Wang L, Li D A, et al. Mining shopping data with passive tags via velocity analysis[J]. Eurasip Journal on Wireless Communications & Networking, 2018, 2018(1):28.(收录号:WOS:000424101800001) [9] Jumin Zhao, Xiaofang Zhao, Dengao Li, et al. GPS/BDS VTL-assisted by the NN for complex environments[J]. IET Communications, 2018.(收录号:WOS:000426691400013) [10] Zhu B , Zhao J , Li D A , et al. Dynamic Cloud Access Control via Accelerometers Using Customized Actions of Occupants[C]// Fifth International Conference on Advanced Cloud & Big Data. IEEE, 2017.(收录号:WOS:000426950400045) [11] Zhao J M, Feng D, Li D A, et al. Time-Efficient Cloning Attacks Identification in Large-Scale RFID Systems[J]. 2017, 2017(1, article 7):1-9.(收录号:WOS:000400649200001) [12] Zhao J, Li Y, Li D, et al. I-MAC: an incorporation MAC for wireless sensor networks[J]. International Journal of Electronics, 2017. (收录号:WOS:000407507400011) [13] Zhu B, Zhao J, Li D A, Rui Q,et al. Application of Congestion Avoidance Mechanism in Multimedia Transmission over Mesh Networks[J]. International Journal of Ad Hoc and Ubiquitous Computing.2017(已录用) [14] Zhao J, Zhu B, Ji X, et al. Up torrent: An efficient data collection protocol inwireless sensor networks[J]. Ad Hoc & Sensor Wireless Networks, 2017, 35(3):261-280.(收录号:WOS:000422650000006) [15] Zhao J, Li N, Li D, et al. Collision alignment: an RFID anti-collision algorithm assisted by orthogonal signal detection and analogy principle[J]. Telecommunication Systems, 2017, 66(1): 131-144.(收录号WOS:000406372300010) [16] J Zhao,Q Tang,D Li,et al. An Efficient Data Gathering Algorithm for Large-scale Wireless Sensor Networks with Mobile Sinks[J]. International Journal of Ad Hoc & Ubiquitous Computing, 2016, 1(1):1.(收录号:WOS:000433041100004) [17] Zhao J, Wang F, Li D, et al. Energy-balanced algorithm for RFID Estimation[J]. International Journal of Electronics, 2016, 103(10):1617-1625.(收录号: WOS:000381012900002) [18] Zhao J, Li N, Li D A, et al. MSOE: Toward Abrupt Magnetic Change in MARG Orientation Using Multi-State Estimator With Smartphones[J]. IEEE Sensors Journal, 2016, 16(20): 7445-7453.(收录号:WOS:000384701400017) [19] Zhao J, Fan S, Li D, et al. Collision tolerance: improving channel utilization with correlatable symbol sequences in wireless networks[J]. International Journal of Distributed Sensor Networks, 2015, 11(5): 678735.(收录号:WOS:000355483700001) [20] Zhao J, Li W, Li D A. Identifying the Missing Tags in Categorized RFID Systems[J]. International Journal of Distributed Sensor Networks, 2014, 2014(4):1-12.(收录号:WOS:000338872200001) [21] Zhao J M, An W X, Li D A, et al. Effective Algorithms for WSN With Weight Principle in Web of Things[J]. IEEE Sensors Journal, 2013, 14(1):228-233. (收录号: WOS:000327248100002) 【著作】 出版专著1部(国防科技图书出版基金资助),参编出版教材5部,其中国家“十一五”规划教材2部; [1] 主编. 循环平稳理论的盲源分离原理与算法(国防科技图书出版基金资助).北京:国防工业出版社,2014. [2] 参编.大学计算机基础. 北京:高等教育出版社,2010. [3] 参编.大学计算机基础实践教程. 北京:高等教育出版社,2010. [4] 参编.数字信号处理及应用(普通高等教育十一五国家级规划教材). 北京:高等教育出版社,2009. [5] 参编.多媒体技术与应用. 北京:中国电力出版社,2007. [6] 参编.信号检测与估计.北京:清华大学出版社,2010十一五规划教材. 【专利】 申请专利80余项,其中以第一作者授权专利16项,情况如下: [1] 李灯熬、赵菊敏、牛慧颖,基于相关性分析的特征选择的J波检测分类方法,2018.07.10,中国,CN106503670B [2] 李灯熬、赵菊敏、毋凡铭,一种基于极点对称模态分解和支持向量机检测心电信号中J波的算法,2018.06.26,中国,CN106344006A [3] 李灯熬、杨斌、赵菊敏,一种基于模数转换反向散射的标签通信系统,2018.3.26,中国,CN105303207A [4] 李灯熬,王欣,赵菊敏,基于概率神经网络的 J 波检测及分类方法,2018.1.17,中国,CN105266801B [5] 李灯熬,马伟,赵菊敏,基于扩展卡尔曼滤波的J波检测与分类方法,2017.11.21,中国,CN105125209B [6] 李灯熬,曹甜,赵菊敏,一种基于RFID的高效信息收集协议,2017.7.21,中国,CN104778428B [7] 李灯熬,白雁飞,赵菊敏,一种基于神经网络的J波检测方法,2017.06.16,中国,CN104783787B [8] 李灯熬,刘金强,赵菊敏,牛文慧,李帅,一种新型的空时联合抗干扰技术,2017.05.24,中国,CN104808219B [9] 李灯熬,郝海龙,赵菊敏,一种基于IEC61850的电动车充电站监控系统,2017.02.01,中国,CN104037916B [10] 李灯熬,陈园, 赵菊敏,一种基于稀疏成分分析的房颤信号提取方法,2016.08.24,中国,CN104323772B [11] 李灯熬,闫丽娟,赵菊敏,IEC61850服务中基于ACSI-FC的映射方法,2016.01.20,中国,CN103887889B [12] 李灯熬,赵菊敏,崔园园,一种矿井监控预警通信方法,2015.11.25,中国,CN102926807B [13] 李灯熬,赵菊敏,杨东,一种基于GIS矿用手机安全监测系统,2015.09.23,中国,CN102932411B [14] 李灯熬,张桂敏,赵菊敏,一种基于稀疏成分分析的J波提取方法,2015.09.16,中国,CN103876732B [15] 李灯熬,吕竞昂,赵菊敏,基于非负矩阵分解的J波提取和分析方法,2015.09.09,中国,CN103860167B [16] 李灯熬,冯丁,赵菊敏,赵宝峰,基于TD-SCDMA系统的井下人员精确定位方,2015.06.10,中国,CN103152695B |