Computer Science ›› 2022, Vol. 49 ›› Issue (12): 185-194.doi: 10.11896/jsjkx.211100080
• Database & Big Data & Data Science • Previous Articles Next Articles
LI Ai-hua1, XU Wei-jia1, SHI Yong2,3
CLC Number:
[1]WALTZ E,LLINAS J.Multi sensor data fusion[M].London:Artech House Radar Library,1990. [2]WHITE J F E.A model for data fusion[C]//Proceedings of the 1st National Symposium on Sensor Fusion.1988:149-158. [3]DING Y,YU X,ZHANG J,et al.Application of linear predictive coding and data fusion process for target tracking by Doppler Through-Wall Radar[J].IEEE Transactions on Microwave Theory and Techniques,2018,67(3):1244-1254. [4]SUSPERREGI L,ARRUTI A,JAUREGI E,et al.Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability[J].Engineering Applications of Artificial Intelligence,2013,26(8):1980-1991. [5]SHEN H,WU J,CHENG Q,et al.A spatiotemporal fusion based cloud removal method for remote sensing images with land cover changes[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2019,12(3):862-874. [6]LI K F.Smart home technology for telemedicine and emergency management[J].Journal of Ambient Intelligence and Huma-nized Computing,2013,4(5):535-546. [7]ATAT R,LIU L,WU J,et al.Big data meet cyber-physical systems:A panoramic survey[J].IEEE Access,2018,6:73603-73636. [8]NALLAGONDA S.Data fusion-aided cognitive radio networkover generalised fading channels[J].Electronics Letters,2019,55(5):285-287. [9]WALD L.Some terms of reference in data fusion[J].IEEETransactions on Geoscience and Remote Sensing,1999,37(3):1190-1193. [10]BLACKMAN S,POPOLI R.Design and analysis of moderntracking systems[M].London:Artech House Publishers,1999. [11]CHEN K W,ZHANG Z P,LONG J.Multisource information fusion:key issues,research progress and new trends[J].Computer Science,2013,40(8):6-13. [12]DONG Z R.Information fusion[J].Command Control & Simulation,2001,23(7):27-36. [13]FIGINI S,GIUDICI P.Statistical merging of rating models[J].Journal of the Operational Research Society,2011,62(6):1067-1074. [14]PADILLA W R,GARCÍA J,MOLINA J M.Knowledge extraction and improved data fusion for sales prediction in local agricultural markets[J/OL].Sensors,2019,19(2):286.https://doi.org/10.3390/s19020286. [15]FRANCESCHINI F,MAISANO D.Checking the consistency of the solution in ordinal semi-democratic decision-making problems[J/OL].Omega,2015,57:188-195. https://doi.org/10.1016/j.omega.2015.04.014. [16]PENG D L,WEN C L,XUE A K.Theory and application of multi-sensor and multi-source information Fusion[M].Xi’an:Xidian University,2010. [17]ZHAO J,CUI Z S,XU J M,et al.The essence and core techno-logy of information fusion[J] Command Control & Simulation,2003,25(8):38-42. [18]ZHAO Z G,LI J L,WANG K.The concept,structure and efficiency of battlefield situation assessment[J].Journal of China Academy of Electronics and Information Technology,2010,5(3):226-230. [19]DE VIN L J,HOLM M,NG A.The information fusion JDL-U model as a reference model for virtual manufacturing[J].Robo-tics and Computer-Integrated Manufacturing,2010,26(6):629-638. [20]HARRIS C J,BAILEY A,DODD T J.Multi-Sensor data fusion in defence and aerospace[J].Aeronautical Journal,1998,102(1015):229-244. [21]BEDWORTH M,O'BRIEN J.The Omnibus model:a new model of data fusion?[J].Aerospace & Electronic Systems Magazine IEEE,2000,15(4):30-36. [22]BLASCH E P,BRETON R,VALIN P,et al.User information fusion decision making analysis with the C-OODA model[C]//14th International Conference on Information Fusion.New York:IEEE Press,2011:1-8. [23]LIGGINS M,HALL D,LLINAS J.Handbook of multisensordata fusion:theory and practice(Second Edition)[M].New York:CRC Press,2008. [24]SHAHBAZIAN E,BLODGETT D,LABBÉ P.The extended OODA model for data fusion systems[C]//The 4th International Conference on Information Fusion.2001. [25]WANG R,JI W,LIU M,et al.Review on mining data from multiple data sources[J/OL].Pattern Recognition Letters,2018,109:120-128.https://doi.org/10.1016/j.patrec.2018.01.013. [26]ESCAMILLA-AMBROSIO P J,MORT N.A hybrid Kalman filter-fuzzy logic architecture for multisensor data fusion[C]//Proceeding of the 2001 IEEE International Symposium on Intelligent Control(ISIC'01)(Cat.No.01CH37206).New York:IEEE Press,2001:364-369. [27]DU H,LV F,LI S,et al.Study of fault diagnosis method based on data fusion technology[J/OL].Procedia Engineering,2012,29:2590-2594.https://doi.org/10.1016/j.proeng.2012.01.356 [28]RÖVID A,REMELI V.Towards raw sensor fusion in 3D object detection[C]//IEEE 17th World Symposium on Applied Machine Intelligence and Informatics(SAMI).New York:IEEE Press,2019:293-298. [29]LIANG M,YANG B,WANG S,et al.Deep continuous fusionfor multi-sensor 3d object detection[C]//Proceedings of the European Conference on Computer Vision(ECCV).Munich:Springer,2018:641-656. [30]KUZNETSOVA P,ORDONEZ V,BERG T L,et al.TRE-ETALK:composition and compression of trees for image descriptions[J].Transactions of the Association for Computational Lingus,2014,2(9):351-362. [31]DU Q,XU H,MA Y,et al.Fusing infrared and visible images of different resolutions via total variation model[J/OL].Sensors,2018,18(11):3827.https://doi.org/10.3390/s18113827. [32]CORONA I,GIACINTO G,MAZZARIELLO C,et al.Information fusion for computer security:State of the art and open issues[J].Information Fusion,2009,10(4):274-284. [33]LIU P F,ZHANG P L,ZHANG J,et al.Subject oriented Web information fusion model[J].Library and Information Service,2011,55(8):40-43. [34]ALVES S F R,ROSARIO J M,FERASOLI F H,et al.Conceptual bases of robot navigation modeling,control and applications in Robot Navigation[M].IntechOpen Access Publisher,2011. [35]LATHUILIÈRE S,MASSÉ B,MESEJO P,et al.Deep rein-forcement learning for audio-visual gaze control[C]//2018 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS).Madrid:IEEE Press,2018:1555-1562. [36]DEEN M J.Information and communications technologies forelderly ubiquitous healthcare in a smart home[J].Personal Ubiquitous Comput,2015,19(3/4):573-599. [37]JAMES A P,DASARATHY B V.Medical image fusion:A survey of the state of the art[J/OL].Information Fusion,2014,19:4-19.https://doi.org/10.1016/j.inffus.2013.12.002. [38]LIANG X,HU P,ZHANG L,et al.MCFNet:Multi-layer concatenation fusion network for medical images fusion[J].IEEE Sensors Journal,2019,19(16):7107-7119. [39]HANNAN B,ZHANG X,SETHARES K.IHANDs:Intelligent health advising and decision-support agent[C]//2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence(WI) and Intelligent Agent Technologies(IAT).New York:IEEE Press,2014,3:294-301. [40]CHEN H,CHIANG R H L,STOREY V C.Business intelli-gence and analytics:from big data to big impact[J].MIS Quarterly,2012,36(12):1165-1188. [41]ADOMAVICIUS G,TUZHILIN A.Toward the next generation of recommender systems:a survey of the state-of-the-art and possible extensions[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(6):734-749. [42]JOHNSON J,NG Y.Enhancing long tail item recommendations using tripartite graphs and Markov process[C]//Proceedings of the International Conference on Web Intelligence.New York:ACM,2017:761-768. [43]CHEN H.AI,E-government,and Politics 2.0[J].IEEE Intelligent Systems,2009,24(5):64-86. [44]HANAUER D A,ZHENG K,RAMAKRISHNAN N,et al.Opportunities and challenges in association and episode discovery from electronic health records[J].IEEE Intelligent Systems,2011,26(5):83-87. [45]MAGBOO M S A,CORONEL A D.Data mining electronichealth records to support evidence-based clinical decisions[J/OL].Innovation in Medicine and Healthcare Systems,and Multimedia,2019:223-232.https://doi.org/10.1007/978-981-13-8566-722. [46]BRANTINGHAM P L.Computational criminology[C]//2011 European Intelligence and Security Informatics Conference.New York:IEEE Press,2011. [47]CHAPMAN P,CLINTON J,KERBER R,et al.CRISP-DM 1.0 step-by-step data mining guide[M].Chicago:SPSS Inc,1999. [48]GU J F,ZHU Z C.Knowing Wuli,sensing Shili,caring for Renli:methodology of the WSR approach[J].Systemic Practice and Action Research,2000,13(1):11-20. [49]GU J F,TANG X J,ZHU Z X.Review of Wuli-Shili-Renli system methodology[J].Journal of Transportation Systems Engineering and Information Technology,2007,7(6):51-60. [50]ZHU Z C.Enlightenment of international exchange on Wuli-Shili-Renli methodology[C]//Systems Engineering,Systems Science and Complexity Research Proceeding of 11th Annual Conference of Systems Engineering Society of China.Research Information Ltd.,2000:149-164. [51]GU J F,GAO F.Wuli-Shili-Renli system methodology based on the perspective of management science[J].Systems Engineering-Theory & Practice,1998,18(8):2-6. [52]KOU X D,GU J F.A twenty-five-year review of WSR metho-dology:origin,connotation,comparison and outlook[J].Ma-nagement Review,2021,33(5):3-14. [53]GU J F,TANG X J.From ancient system thoughts to modernoriental systems methodology[J].Systems Engineering-Theory &Practice,2000 20(1):90-93. [54]GU J F,TANG X J.Designing a water resources management decision support system:an application of the WSR approach[J].Systemic Practice and Action Research,2000,13(1):59-70. [55]SHE L Z.An empirical analysis of WSR system for large-scale engineering projects[J].China Civil Engineering Journal,2006,39(6):111-114. [56]ZHANG Q,XUE H F.An analytical model for environmental safety based on WSR methodology[J].China Soft Science,2010,25(1):165-174. [57]YE W,LIU X Y.Empirical study on factors affecting the system of science and technology innovation talent development under the perspective of WSR[J].Science and Technology Management Research,2017,37(9):36-43. [58]LI A H,XU W J,SHI Y.A New data fusion framework of business intelligence and analytics in economy,finance and management[C]//2020 IEEE/WIC/ACM International Joint Confe-rence on Web Intelligence and Intelligent Agent Technology(WI-IAT).New York:IEEE Press,2020:940-945. [59]PENG Y,KOU G.Research on theoretical framework of data mining based on domain knowledge[C]//The third(2008) Chinese Management Annual Conference-Information Management Conference Proceedings.Changsha:Chinese Research Council of Modern Management,2008:1242-1250. [60]MENG X F,DU Z J.Research on the big data fusion:issues and challenges[J].Journal of Computer Research and Development,2016,53(2):231-246. [61]JEVTIC P,REGIS L.A continuous-time stochastic model for the mortality surface of multiple populations[J/OL].Insurance:Mathematics and Economics,2019,88:181-195.https://doi.org/10.1016/j.insmatheco.2019.07.001. [62]MAO Y,GAN S.Economic evaluation model of freight distribution management in maritime port[J].Journal of Coastal Research,2019(Special Issue No.93):1059-1065. [63]ZUO A,ANN W S,ADAMOWICZ W L,et al.Measuring price elasticities of demand and supply of water entitlements based on stated and revealed preference data[J].American Journal of Agricultural Economics,2016,98(1):314-332. [64]LEE S I,YOO S J.Multimodal deep learning for finance:in-tegrating and forecasting international stock markets[J].The Journal of Supercomputing,2020,76(10):8294-8312. [65]WANG Q,XU W,HUANG X,et al.Enhancing intraday stock price manipulation detection by leveraging recurrent neural networks with ensemble learning[J].Neurocomputing,2019,347:46-58. [66]KONG D S.Research on technologies of stock market prediction based on quantity-price and sentiment analysis[D].Harbin:Harbin Institute of Technology,2019. [67]HOU J,HU N L,LI G Q,et al.Solution of operation and decision-making system oriented to mining group based on business intelligence[J].Computer Integrated Manufacturing Systems,2016,22(1):202-212. [68]CHEN G,YING Y H,WANG Y.Research on feature extraction of persons subject to enforcement for trust-breaking based on multivariate heterogeneous data fusion[J].Legality Vision,2020(32):187-188. [69]JI Z Y,PI H Y,YAO W N.A hybrid recommendation model based on fusion of multi-source heterogeneous data[J].Journal of Beijing University of Posts and Telecommunications,2019,42(1):126-132. [70]HUANG X B,ZHANG M X.Construction of enterprise competitor portrait based on multi-source data[J].Journal of Mo-dern Information,2020,40(11):13-21. [71]DING D.Research on the application of big data in hotel customer demand forecast under tourism background[J].Journal of Qiqihar University(Natural Science Edition),2020,36(6):90-94. |
[1] | CHEN Ming-xin, ZHANG Jun-bo, LI Tian-rui. Survey on Attacks and Defenses in Federated Learning [J]. Computer Science, 2022, 49(7): 310-323. |
[2] | YANG Fei-fei, SHEN Si-yu, SHEN De-rong, NIE Tie-zheng, KOU Yue. Method on Multi-granularity Data Provenance for Data Fusion [J]. Computer Science, 2022, 49(5): 120-128. |
[3] | HU Chu-yang, LIU Xian-hui, ZHAO Wei-dong. Data Fusion Method of Network Collaborative Manufacturing Based on Rule Chain [J]. Computer Science, 2022, 49(11A): 220300175-7. |
[4] | HUO Tian-yuan, GU Jing-jing. Dynamic and Static Relationship Fusion of Multi-source Health Perception Data for Disease Diagnosis [J]. Computer Science, 2022, 49(11A): 211100241-9. |
[5] | MA Ji, LIN Shang-jing, LI Yue-ying, ZHUANG Bei, JIA Rui, TIAN Jin. Traffic Prediction for Wireless Communication Networks with Multi-source and Cross-domain Data Fusion [J]. Computer Science, 2022, 49(11A): 210800165-7. |
[6] | PAN Deng, CAI Meng-yun, WANG Zhen-yu, LV Jia-liang. Testing System of Target Recognition Method of Array Screen [J]. Computer Science, 2022, 49(11A): 211000109-4. |
[7] | ZHOU Xin-min, HU Yi-gui, LIU Wen-jie, SUN Rong-jun. Research on Urban Function Recognition Based on Multi-modal and Multi-level Data Fusion Method [J]. Computer Science, 2021, 48(9): 50-58. |
[8] | ZHANG Jun, WANG Yang, LI Kun-hao, LI Chang, ZHAO Chuan-xin. Multi-source Sensor Body Area Network Data Fusion Model Based on Manifold Learning [J]. Computer Science, 2020, 47(8): 323-328. |
[9] | MA Hong. Fusion Localization Algorithm of Visual Aided BDS Mobile Robot Based on 5G [J]. Computer Science, 2020, 47(6A): 631-633. |
[10] | HUANG Ting-ting, FENG Feng. Study on Optimization of Heterogeneous Data Fusion Model in Wireless Sensor Network [J]. Computer Science, 2020, 47(11A): 339-344. |
[11] | CAI Li, LI Ying-zi, JIANG Fang, LIANG Yu. Study on Clustering Mining of Imbalanced Data Fusion Towards Urban Hotspots [J]. Computer Science, 2019, 46(8): 16-22. |
[12] | YANG Si-xing, GUO Yan, LI Ning, SUN Bao-ming, QIAN Peng. Compressive Sensing Multi-target Localization Algorithm Based on Data Fusion [J]. Computer Science, 2018, 45(9): 161-165. |
[13] | JU Chun-hua, ZOU Jiang-bo, FU Xiao-kang. Design and Application of Big Data Credit Reporting Platform Integrating Blockchain Technology [J]. Computer Science, 2018, 45(11A): 522-526. |
[14] | GAO Di, XU Zheng and LIU Yun-huai. Data Surge Models for Public Security Data Processing and Its Application in Unity of Security System [J]. Computer Science, 2017, 44(Z6): 342-347. |
[15] | ZHANG Feng, ZHENG Hong-yuan and DING Qiu-lin. Trust and Weight Based Data Fusion Model in Wireless Sensor Networks [J]. Computer Science, 2017, 44(5): 37-41. |
|