{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:23Z","timestamp":1750220843234,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T00:00:00Z","timestamp":1571702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,22]]},"DOI":"10.1145\/3331453.3361307","type":"proceedings-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T13:34:22Z","timestamp":1571664862000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Application of Modal Decomposition Technique in Network Traffic Prediction"],"prefix":"10.1145","author":[{"given":"Jinmei","family":"Shi","sequence":"first","affiliation":[{"name":"University Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Beng","family":"Leau","sequence":"additional","affiliation":[{"name":"University Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah, Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huandong","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Hainan Normal University, Haikou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSESS.2018.8663884"},{"key":"e_1_3_2_1_2_1","volume-title":"A Review of Network Traffic Analysis and Prediction Techniques","author":"Joshi M R","year":"2019","unstructured":"Joshi M R and Hadi T H ( 2019 ). A Review of Network Traffic Analysis and Prediction Techniques . Joshi M R and Hadi T H (2019). A Review of Network Traffic Analysis and Prediction Techniques."},{"key":"e_1_3_2_1_3_1","volume-title":"Fan W and Wang C","author":"Ma P","year":"2019","unstructured":"Ma P , Zhang H , Fan W and Wang C ( 2019 ). Early fault detection of bearings based on adaptive variational mode decomposition and local tangent space alignment. Engineering Computations (Swansea, Wales) , 36(2), 509--532. https:\/\/doi.org\/10.1108\/EC-05-2018-0206. 10.1108\/EC-05-2018-0206 Ma P, Zhang H, Fan W and Wang C (2019). Early fault detection of bearings based on adaptive variational mode decomposition and local tangent space alignment. Engineering Computations (Swansea, Wales), 36(2), 509--532. https:\/\/doi.org\/10.1108\/EC-05-2018-0206."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/90.282603"},{"key":"e_1_3_2_1_5_1","volume-title":"Communication and Computing (ICSPCC), 2013 IEEE International Conference on. IEEE","author":"Wang J","year":"2013","unstructured":"Wang J ( 2013 ). A process level network traffic prediction algorithm based on ARIMA model in smart substation[C]\/\/Signal Processing , Communication and Computing (ICSPCC), 2013 IEEE International Conference on. IEEE , 2013:1--5. Wang J (2013). A process level network traffic prediction algorithm based on ARIMA model in smart substation[C]\/\/Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on. IEEE, 2013:1--5."},{"key":"e_1_3_2_1_6_1","volume-title":"13th International Conference on. IEEE","author":"Strelkovskaya I","year":"2016","unstructured":"Strelkovskaya I , Solovskaya I , Severin N , ( 2016 ). Approximation of self-similar traffic by spline-functions[C]\/\/Modem Problems of Radio Engineering. Telecommunications an Computer Science(TCSET) , 13th International Conference on. IEEE , 2016:132--135. Strelkovskaya I, Solovskaya I, Severin N, et al. (2016). Approximation of self-similar traffic by spline-functions[C]\/\/Modem Problems of Radio Engineering. Telecommunications an Computer Science(TCSET), 13th International Conference on. IEEE, 2016:132--135."},{"issue":"12","key":"e_1_3_2_1_7_1","first-page":"631","article-title":"Impact of Hurst parameter value in self-similarity behavior of network traffic[J]","volume":"5","author":"Das L P","year":"2017","unstructured":"Das L P , Patra S K , Mishra S. ( 2017 ). Impact of Hurst parameter value in self-similarity behavior of network traffic[J] . IJRCCT , 5 ( 12 ): 631 -- 633 . Das L P, Patra S K, Mishra S. (2017). Impact of Hurst parameter value in self-similarity behavior of network traffic[J]. IJRCCT, 5(12): 631--633.","journal-title":"IJRCCT"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2016\/3542898","article-title":"A New Approach for Chaotic Time Series Prediction Using Recurrent Neural Network","volume":"2016","author":"Li Q","year":"2016","unstructured":"Li Q and Lin R C ( 2016 ). A New Approach for Chaotic Time Series Prediction Using Recurrent Neural Network . Mathematical Problems in Engineering , 2016 , 1 -- 9 . https:\/\/doi.org\/10.1155\/2016\/3542898. 10.1155\/2016 Li Q and Lin R C (2016). A New Approach for Chaotic Time Series Prediction Using Recurrent Neural Network. Mathematical Problems in Engineering, 2016, 1--9. https:\/\/doi.org\/10.1155\/2016\/3542898.","journal-title":"Mathematical Problems in Engineering"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2017.03.018"},{"key":"e_1_3_2_1_10_1","first-page":"366","article-title":"Detecting strange attractors in turbulence [M]\/\/Dynamical systems and turbulence, Warwick 1980.Springer, Berlin","volume":"1981","author":"Takens F.","year":"1981","unstructured":"Takens F. ( 1981 ). Detecting strange attractors in turbulence [M]\/\/Dynamical systems and turbulence, Warwick 1980.Springer, Berlin , Heidelberg , 1981 : 366 -- 381 . Takens F. (1981). Detecting strange attractors in turbulence [M]\/\/Dynamical systems and turbulence, Warwick 1980.Springer, Berlin, Heidelberg, 1981: 366--381.","journal-title":"Heidelberg"},{"key":"e_1_3_2_1_11_1","volume-title":"Gui X and Li L","author":"Yang Y","year":"2014","unstructured":"Yang Y , Chen Y , Li C , Gui X and Li L ( 2014 ). Network Traffic Prediction Based on LSSVM Optimized by PSO. Proceedings-2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Sy , 829--834. https:\/\/doi.org\/10.1109\/UIC-ATC-ScalCom.2014.100. 10.1109\/UIC-ATC-ScalCom.2014.100 Yang Y, Chen Y, Li C, Gui X and Li L (2014). Network Traffic Prediction Based on LSSVM Optimized by PSO. Proceedings-2014 IEEE International Conference on Ubiquitous Intelligence and Computing, 2014 IEEE International Conference on Autonomic and Trusted Computing, 2014 IEEE International Conference on Scalable Computing and Communications and Associated Sy, 829--834. https:\/\/doi.org\/10.1109\/UIC-ATC-ScalCom.2014.100."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Huang N E Shen Z Long S R etal The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[C]\/\/Proceeding of the Royal Society of London A: mathematical physical and engineering sciences. The Royal Society 1998 454(1971):903--995.  Huang N E Shen Z Long S R et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[C]\/\/Proceeding of the Royal Society of London A: mathematical physical and engineering sciences. The Royal Society 1998 454(1971):903--995.","DOI":"10.1098\/rspa.1998.0193"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4035480"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1115\/1.4031407"},{"key":"e_1_3_2_1_15_1","first-page":"485","article-title":"The Use of a Masking Signal to Improve Empirical Mode Decomposition","volume":"23","author":"Deering R","year":"2005","unstructured":"Deering R and Kaiser J E ( 2005 ). \" The Use of a Masking Signal to Improve Empirical Mode Decomposition ,\" IEEE International Conference on Acoustics, Speech, and Signal Processing, 1--5: Speech Processing, Mar. 23 , pp. 485 -- 488 . Deering R and Kaiser J E (2005). \"The Use of a Masking Signal to Improve Empirical Mode Decomposition,\" IEEE International Conference on Acoustics, Speech, and Signal Processing, 1--5: Speech Processing, Mar. 23, pp. 485--488.","journal-title":"IEEE International Conference on Acoustics, Speech, and Signal Processing, 1--5: Speech Processing, Mar."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2010.03.003"},{"key":"e_1_3_2_1_17_1","volume-title":"Jan. 12-14.","author":"Guo W","year":"2010","unstructured":"Guo W and Tse P W ( 2010 ). \" Enhancing the Ability of Ensemble Empirical Mode Decomposition in Machine Fault Diagnosis,\" Prognostics & Health Management Conference , Jan. 12-14. Guo W and Tse P W (2010). \"Enhancing the Ability of Ensemble Empirical Mode Decomposition in Machine Fault Diagnosis,\" Prognostics & Health Management Conference, Jan. 12-14."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2288675"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.02.020"},{"key":"e_1_3_2_1_20_1","first-page":"1","article-title":"A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition [J]","volume":"2016","author":"Cancan Y","year":"2016","unstructured":"Cancan Y , Yong L , Zhang D ( 2016 ). A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition [J] . Shock and Vibration , 2016 : 1 -- 10 . Cancan Y, Yong L, Zhang D (2016). A Fault Diagnosis Scheme for Rolling Bearing Based on Particle Swarm Optimization in Variational Mode Decomposition [J]. Shock and Vibration, 2016:1--10.","journal-title":"Shock and Vibration"},{"key":"e_1_3_2_1_21_1","volume-title":"FEBRUARY 2018","author":"Wang X B","year":"2018","unstructured":"Wang X B ( 2018 ). Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery [J].IEEE\/ASME TRANSACTIONS ON MECHATRONICS, VOL. 23, NO. 1 , FEBRUARY 2018 , 2018:68--79. Wang X B et al. (2018). Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery [J].IEEE\/ASME TRANSACTIONS ON MECHATRONICS, VOL. 23, NO. 1, FEBRUARY 2018, 2018:68--79."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2909300"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3390\/e21040400"}],"event":{"name":"CSAE 2019: The 3rd International Conference on Computer Science and Application Engineering","acronym":"CSAE 2019","location":"Sanya China"},"container-title":["Proceedings of the 3rd International Conference on Computer Science and Application Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331453.3361307","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3331453.3361307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:22:56Z","timestamp":1750202576000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331453.3361307"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,22]]},"references-count":23,"alternative-id":["10.1145\/3331453.3361307","10.1145\/3331453"],"URL":"https:\/\/doi.org\/10.1145\/3331453.3361307","relation":{},"subject":[],"published":{"date-parts":[[2019,10,22]]},"assertion":[{"value":"2019-10-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}