Research article Special Issues

Design of an automatic landscape design system in smart cities based on vision computing

  • Received: 24 May 2023 Revised: 17 July 2023 Accepted: 25 July 2023 Published: 14 August 2023
  • In future smart cities, automatic landscape design can be viewed as a promising intelligent application to reduce the reliance on expert labors. As it is a kind of visual sensing activity, it is expected to develop a robust interaction platform with strong ability of visual information fusion. To deal with this issue, this paper integrates vision computing, and designs an automatic landscape design system in smart cities. The whole design framework can be attributed as three aspects of works: function analysis, structure design and implementation. Among, the visual information processing runs through the three aspects. Then, the generation process of landscape design is simulated in detail via a systematic case study. To prove the significance of visual information processing in our proposal, this article uses a model analysis method to compare the effects of traditional data processing technology and visual data processing technology. The analysis results show that vision computing technology provides technical support for landscape design. We also carry out some performance testing towards the designed automatic landscape design system, and evaluation results are demonstrated via visualization format. The designed automatic system is a proper prototype that can be developed to realistic engineering systems by some following completion.

    Citation: Wei Wu, Shicheng Luo, Hongying Wang. Design of an automatic landscape design system in smart cities based on vision computing[J]. Mathematical Biosciences and Engineering, 2023, 20(9): 16383-16400. doi: 10.3934/mbe.2023731

    Related Papers:

  • In future smart cities, automatic landscape design can be viewed as a promising intelligent application to reduce the reliance on expert labors. As it is a kind of visual sensing activity, it is expected to develop a robust interaction platform with strong ability of visual information fusion. To deal with this issue, this paper integrates vision computing, and designs an automatic landscape design system in smart cities. The whole design framework can be attributed as three aspects of works: function analysis, structure design and implementation. Among, the visual information processing runs through the three aspects. Then, the generation process of landscape design is simulated in detail via a systematic case study. To prove the significance of visual information processing in our proposal, this article uses a model analysis method to compare the effects of traditional data processing technology and visual data processing technology. The analysis results show that vision computing technology provides technical support for landscape design. We also carry out some performance testing towards the designed automatic landscape design system, and evaluation results are demonstrated via visualization format. The designed automatic system is a proper prototype that can be developed to realistic engineering systems by some following completion.



    加载中


    [1] E. G O'Neill, R. A. Martinez-Feria, B. Basso, C. T. Maravelias, Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty, Comput. Chem. Eng., 160 (2022), 107724. https://doi.org/10.1016/j.compchemeng.2022.107724 doi: 10.1016/j.compchemeng.2022.107724
    [2] J. Xiao, T. Yuizono, Climate-adaptive landscape design: Microclimate and thermal comfort regulation of station square in the hokuriku region, Japan, Build. Environ., 212 (2022), 108813. https://doi.org/10.1016/j.buildenv.2022.108813 doi: 10.1016/j.buildenv.2022.108813
    [3] Y. X. Dai, Application of regional culture in landscape architecture design under the background of data fusion, Sci. Program., 2022 (2022), 1–12. https://doi.org/10.1155/2022/6240313 doi: 10.1155/2022/6240313
    [4] X. T. Feng, Y. F. Zhang, M. Du, S. J. Li, J. Ding, J. R. Wang, et al., Identification of diagnostic biomarkers and therapeutic targets in peripheral immune landscape from coronary artery disease, J. Transl. Med., 20 (2022), 1–17. https://doi.org/10.1186/s12967-022-03614-1 doi: 10.1186/s12967-022-03614-1
    [5] H. Nordh, K. H Evensen, Landscape architecture design and well-being—research challenges and opportunities, Sustainability, 14 (2022), 4522. https://doi.org/10.3390/su14084522 doi: 10.3390/su14084522
    [6] P. Y. Shan, W. Sun, Auxiliary use and detail optimization of computer vr technology in landscape design, Arabian J. Geosci., 14 (2021), 1–14. https://doi.org/10.1007/s12517-021-07131-1 doi: 10.1007/s12517-021-07131-1
    [7] M. Liu, S. Nijhuis, The application of advanced mapping methods and tools for spatial-visual analysis in landscape design practice, Sustainability, 13 (2021), 7952. https://doi.org/10.3390/su13147952 doi: 10.3390/su13147952
    [8] Z. S. Lin, L. Zhang, S. Tang, Y. Song, X. Y. Ye, Evaluating cultural landscape remediation design based on vr technology, ISPRS Int. J. Geo-Inform., 10 (2021), 423. https://doi.org/10.3390/ijgi10060423 doi: 10.3390/ijgi10060423
    [9] D. vom Bruch, Real-time data processing with gpus in high energy physics, J. Instrument., 15 (2020), C06010. https://doi.org/10.1088/1748-0221/15/06/C06010 doi: 10.1088/1748-0221/15/06/C06010
    [10] V. Monga, S. T Acton, Abd-Krim Seghouane, A. Munoz-Barrutia, J. C. Ye, Introduction to the issue on domain enriched learning for medical imaging, IEEE J. Selected Topics Signal Process., 14 (2020), 1068–1071. https://doi.org/10.1109/JSTSP.2020.3021275 doi: 10.1109/JSTSP.2020.3021275
    [11] S. Donnelly, S. Dean, S. Razavy, T. Levett-Jones, Measuring the impact of an interdisciplinary learning project on nursing, architecture and landscape design students' empathy, Plos one, 14 (2019), e0215795. https://doi.org/10.1371/journal.pone.0215795 doi: 10.1371/journal.pone.0215795
    [12] A. Kennedy, K. Klein, A. Nguyen, F. Y. Wang, The graph landscape: using visual analytics for graph set analysis., J. Visual., 20 (2017), 417–432. https://doi.org/10.1007/s12650-016-0374-6 doi: 10.1007/s12650-016-0374-6
    [13] Q. Zhang, Z. W. Guo, Y. Y. Zhu, P. Vijayakumar, A. Castiglione, B. B Gupta, A deep learning-based fast fake news detection model for cyber-physical social services, Pattern Recogn. Letters, 168 (2023), 31–38. https://doi.org/10.1016/j.patrec.2023.02.026 doi: 10.1016/j.patrec.2023.02.026
    [14] P. Bertrand, J. Bowman, R. J. Dyer, M. Manseau, P. J. Wilson, Sex-specific graphs: Relating group-specific topology to demographic and landscape data., Molecul. Ecol., 26 (2017), 3898–3912. https://doi.org/10.1111/mec.14174 doi: 10.1111/mec.14174
    [15] Y. Hatano, S. Sato, T. Arima, An analysis of landscape structure of a fishing villege using topographic data and computer graphics.(no.2) : A visual analysis on kamae town and saganoseki town in oita pref, Indian J. Pediatr., 81 (2014), 174–187.
    [16] J. Malone, A. Brown, A. L. Lister, J. Ison, D. C. Hull, H. Parkinson, R. Stevens, The software ontology (swo): A resource for reproducibility in biomedical data analysis, curation and digital preservation, J. Biomed. Semant., 5 (2014), 1–13. https://doi.org/10.1186/2041-1480-5-25 doi: 10.1186/2041-1480-5-25
    [17] J. L. Seburanga, Q. X. Zhang, Heritage trees and landscape design in urban areas of rwanda, J. Forest. Res., 24 (2013), 561–570. https://doi.org/10.1007/s11676-013-0388-z doi: 10.1007/s11676-013-0388-z
    [18] H. G. Miller, P. Mork, From data to decisions: A value chain for big data, It Professional, 15 (2013), 57–59. https://doi.org/10.1109/MITP.2013.11 doi: 10.1109/MITP.2013.11
    [19] R. Vasan, A venture perspective on cloud computing, Computer, 44 (2011), 60–62. https://doi.org/10.1109/MC.2011.68 doi: 10.1109/MC.2011.68
    [20] S. Lavorel, K. Grigulis, D. R. Richards, T. R. Etherington, R. M. Law, A. Herzig, Templates for multifunctional landscape design., Landscape Ecol., (2022), 1–22. https://doi.org/10.21203/rs.3.rs-723182/v1 doi: 10.21203/rs.3.rs-723182/v1
    [21] E. Palazzo, S. S. Wang. Landscape design for flood adaptation from 20 years of constructed ecologies in china, Sustainability, 14 (2022), 4511. https://doi.org/10.1016/10.3390/su14084511 doi: 10.1016/10.3390/su14084511
    [22] T. H. Nguyen, J. L. Field, H. Y. Kwon, T. R. Hawkins, K. Paustian, M. Q Wang, A multi-product landscape life-cycle assessment approach for evaluating local climate mitigation potential, J. Cleaner Product., 354 (2022), 131691. https://doi.org/10.1016/j.jclepro.2022.131691 doi: 10.1016/j.jclepro.2022.131691
    [23] F. F. Liu, P. Y. Liu, J. Kang, Q. Meng, Y. Wu, D. Yang, Relationships between landscape characteristics and the restorative quality of soundscapes in urban blue spaces, Appl. Acoust., 189 (2022), 108600. https://doi.org/10.1016/j.apacoust.2021.108600 doi: 10.1016/j.apacoust.2021.108600
    [24] C. A. Krabbenhoft, D. R Kashian, Invasion success of a freshwater fish corresponds to low dissolved oxygen and diminished riparian integrity, Biol. Invas., 24 (2022), 3049–3063. https://doi.org/10.1007/s10530-022-02827-1 doi: 10.1007/s10530-022-02827-1
    [25] Y. Kwak, B. Deal, G. Mosey, Landscape design toward urban resilience: Bridging science and physical design coupling sociohydrological modeling and design process, Sustainability, 13 (2021), 4666. https://doi.org/10.3390/su13094666 doi: 10.3390/su13094666
    [26] L. Mittal, R. Tonk, A. Awasthi, S. Asthana, Traversing through the dynamic protein–protein interaction landscape and conformational plasticity of pd-1 for small-molecule discovery, J. Med. Chem., 65 (2022), 5941–5953. https://doi.org/10.1021/acs.jmedchem.2c00176 doi: 10.1021/acs.jmedchem.2c00176
    [27] C. L. Wang, Visvisual: A toolkit for teaching and learning data visualization, IEEE Computer Graph. Appl., 42 (2022), 20–26. https://doi.org/10.1109/MCG.2022.3176199 doi: 10.1109/MCG.2022.3176199
    [28] F. Zsarnoczky-Dulhazi, A. Hegedus, P. Soldos, L. Trzaskoma, B. Kopper, Effect of sports background on the visual and vestibular signal processing abilities of athletes, Sci. Sports, 37 (2022), 798–e1. https://doi.org/10.1016/j.scispo.2021.12.005 doi: 10.1016/j.scispo.2021.12.005
    [29] X. N. Zhang, W. Fan, X. H. Guo, Urban landscape design based on data fusion and computer virtual reality technology, Wireless Commun. Mobile Comput., 2022 (2022), 1–14. https://doi.org/10.1155/2022/7207585 doi: 10.1155/2022/7207585
    [30] S. Foster, P. Hooper, A. Duckworth, J. L. Bolleter, An evaluation of the policy and practice of designing and implementing healthy apartment design standards in three australian cities, Build. Environ., 207 (2022), 108493. https://doi.org/10.1016/j.buildenv.2021.108493 doi: 10.1016/j.buildenv.2021.108493
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(865) PDF downloads(151) Cited by(0)

Article outline

Figures and Tables

Figures(8)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog