Abstract
Due to the upsurge of ocean exploration in the world, the use of wireless sensor network technology is not only limited to the insight and capture of information on land, but also slowly to a broader ocean. As the extension of traditional wireless sensor network in the underwater, marine wireless sensor network has been widely used in the fields of network detection and utilization of deep-sea mineral resources, prevention and treatment of water pollution, pre warning of tsunami and earthquake, navigation, and positioning, which has also aroused the wide attention of researchers in the industry. In addition to the detection of marine ecology, due to China’s vast territory and national prosperity, Chinese traditional culture is very rich, with a long history, profound cultural heritage, and abundant music reserves, so traditional music has a very high value of music culture education. Based on the teaching effect, this paper analyzes the development trend and favorable conditions of traditional music, shows the practical use and value of traditional music education in Colleges and universities, and then analyzes the existing problems of traditional music education in colleges and universities. In addition, in order to implement the scientific concept of development, rationally develop and utilize the ocean, divide the marine ecological red line control area, maintain marine resources, and improve the carrying capacity of marine ecosystem, this paper uses wireless sensor technology to study the educational development theory of marine ecological monitoring and traditional music.
Similar content being viewed by others
Change history
03 November 2021
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-021-08805-6
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08471-8
References
Beggs DH, Brill JP (1973) A study of two-phase flow in inclined pipes. J Pet Technol 25(05):607–617
Chierici GL, Ciucci GM, Sclocchi G (1974) Two-phase vertical flow in oil wells-prediction of pressure drop. J Pet Technol 26(08):927–938
Mohammadi K, Shamshirband S, Tong CW, Arif M, Petkovic D, Che S (2015) A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation. Energy Convers Manag 92:162–171
Naderi M, Sabzpooshani M (2019) On the importance of relative humidity for prediction of diffuse solar radiation in warm and humid climate of Iran. Int J Green Energy 16:1230–1241. https://doi.org/10.1080/15435075.2019.1671398
Nazari-Sharabian M, Karakouzian M (2020) Relationship between sunspot numbers and mean annual precipitation: application of cross-wavelet transform—a case study. J Multidiscip Sci J 3:67–78
Nourani V, Elkiran G, Abdullahi J, Tahsin A (2019) Multi-region modeling of daily global solar radiation with artificial intelligence ensemble. Nat Resour Res 28:1217–1238
Nwokolo SC, Ogbulezie JC (2018) A quantitative review and classification of empirical models for predicting global solar radiation in West Africa. Beni-Suef Univ J Basic Appl Sci 7:367–396
Piri J, Shamshirband S, Petkovic D, Tong CW, Rehman MH (2015) Prediction of the solar radiation on the Earth using support vector regression technique. Infrared Phys Technol 68:179–185
Quej VH, Almorox J, Ibrakhimov L, Saito L (2016) Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico. Energy Convers Manag 110:448–456
Raghavendra S, Deka PC (2014) Support vector machine applications in the field of hydrology: a review. Appl Soft Comput 19:372–386
Ramli MA-M, Twaha S, Al-Turki YA (2015) Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted sufarce: Saudi Arabia case study. Energy Convers Manag 105:442–452
Rehman S, Mohandes M (2008) Artificial neural network estimation of global solar radiation using air temperature and relative humidity. Energy Policy 36:571–576
Santos CM, Souza JL, Ferreira Junior RA et al (2014) On modeling global solar irradiation using air temperature for Alagoas State, Northeastern Brazil. Energy 71:388–398
Santos CM, Escobedo JF, Teramoto ET, Silva SHMG (2016) Assessment of ANN and SVM models for estimating normal direct irradiation (Hb). Energy Convers Manag 126:826–836
Siva Krishna Rao KDV, Premalatha M, Naveen C (2018) Models for forecasting monthly mean daily global solar radiation from in-situ measurements: application in Tropical Climate, India. Urban Clim 24:921–939
Smola AJ, Schölkopf B (2004) A tutorial on support vector regression. Stat Comput 14:199–222
Solmaz O, Ozgoren M (2012) Prediction of hourly solar radiation in six provinces in turkey by artificial neural networks. J Energy Eng 138:194–204
Tabari H, Ozgur K, Ezani A, Talaee PH (2012) SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment. J Hydrol 444–445:78–89
Uckan I, Khudhur KM (2018) Estimation and comparison of various global solar radiation models on horizontal surface in a hot and dry region. Int J Green Energy 15:358–370
Vapnik NV (2000) The nature of statistical learning theory, 2nd edn. Springer-Verlag, New York, p 324. https://doi.org/10.1007/978-1-4757-3264-1
Weiss A, Hays CJ, Hu Q, Easterling WE (2001) Incorporating bias error in calculating solar irradiance: implications for crop yield simulations. Agron J 93:1321–1326
Willmott CJ, Robeson SM, Matsuura K (2012) A refined index of model performance. Int J Climatol 32:2088–2094
Yacef R, Mellit A, Belaid S, Şen Z (2014) New combined models for estimating daily global solar radiation from measured air temperature in semi-arid climates: application in Ghardaïa, Algeria. Energy Convers Manag 79:606–615
Yadav AK, Malik H, Chandel SS (2014) Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models. Renew Sust Energ Rev 31:509–519
Yao W, Zhang X, Hao H, Wang X, Li X (2018) A support vector machine approach to estimate global solar radiation with the influence of fog and haze. Renew Energy 128:155–162
Yıldırım HB, Çelik O, Teke A, Barutçu B (2018) Estimating daily global solar radiation with graphical user interface in Eastern Mediterranean region of Turkey. Renew Sust Energ Rev 82:1528–1537
Zhang J, Zhao L, Deng S, Xu W, Zhang Y (2017) A critical review of the models used to estimate solar radiation. Renew Sust Energ Rev 70:314–329
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The author declares that she has no competing interests.
Additional information
Responsible Editor: Sheldon Williamson
Please insert article note This article is part of the Topical Collection on Environment and Low Carbon Transportation.
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-021-08799-1
About this article
Cite this article
Li, L. RETRACTED ARTICLE: Marine ecological monitoring based on wireless sensor technology and the development of traditional music education. Arab J Geosci 14, 1883 (2021). https://doi.org/10.1007/s12517-021-08209-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12517-021-08209-6