The severe destruction of traditional villages has become a social problem, and this problem must be solved immediately in the context of rapid urbanization in China. As the millennium crystallization of the agricultural culture of various countries, the traditional village has a unique humanistic and natural landscape, with extremely high historical, cultural and economic value, and is an important link in the construction of the ecological culture of various countries. The purpose of this work is to study the ecosystem of Lingnan ancient villages based on the database. This research completely uses bibliographic data method, expert interview method, questionnaire survey method and decision analysis method. From the perspective of the laws of ancient sustainable rural ecosystems, according to the characteristics of modern rural development, the current problems are summarized, the existing problems, their causes, and solutions are proposed, namely, to build an ancient rural ecosystem with a database. This work analyzed in detail the ecosystem of the ancient villages in Lingnan, collected relevant parameters, and created a digital model of the ecosystem of the ancient villages in Lingnan. Combining the factors that affect the construction process of the ancient village ecosystem in Lingnan, it quantitatively translates it into computer language, formulates iteration stopping conditions, and then uses the database platform to establish a multi-factor system to perform its ancient quantitative optimization model. On this basis, the huge database resource utilization rate has increased the scientific utilization rate of nearly 50% of the ancient village ecosystem in Lingnan.
Published in | American Journal of Information Science and Technology (Volume 6, Issue 4) |
DOI | 10.11648/j.ajist.20220604.11 |
Page(s) | 81-85 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Ancient Village Ecosystem, Document Method, Questionnaire Survey, Digital Model
[1] | Mr liu, Mr gu. Analysis on the water landscape and safety of Liukeng ancient village [J]. Shanxi Architecture, 2019, 045 (006): 190-192. |
[2] | Josep Darbà, Alicia Marsà. Hospital incidence, management and direct cost of osteogenesis imperfecta in Spain: a retrospective database analysis [J]. Journal of Medical Economics, 2020: 1-6. |
[3] | Hebbal B, Marif Y, Belhadj M M. Bioclimatic Architecture in the Ancient Village of Southern Algeria [M]// ICREEC 2019. 2020. |
[4] | Attal M, Lauwers-Cances V, Hulin C, et al. Lenalidomide, Bortezomib, and Dexamethasone with Transplantation for Myeloma [J]. N Engl J Med, 2017, 376 (14): 1311-1320. |
[5] | Chaouch H, Taffon S, Villano U, et al. Naturally Occurring Surface Antigen Variants of Hepatitis B Virus in Tunisian Patients [J]. Intervirology, 2016, 59 (1): 36. |
[6] | Baerlocher C, Mccusker L B. Database of Zeolite Structures [J]. Microporous and Mesoporous Materials, 2020, 297: 110000. |
[7] | Uri K, William Stafford N. Controlling the FDR in imperfect matches to an incomplete database [J]. Journal of the American Statistical Association, 2019. |
[8] | Kim H I, Kim H J, Chang J W. A secure kNN query processing algorithm using homomorphic encryption on outsourced database [J]. Data & Knowledge Engineering, 2019, 123: 101602. |
[9] | Schmid E, Leeson K, Xu K T, et al. CT imaging history for patients presenting to the ED with renal colic--evidence from a multi-hospital database [J]. BMC Emergency Medicine, 2019, 19 (1). |
[10] | Lin-Wei W, Gui-Fang Y, Jia-Mei C, et al. A clinical database of breast cancer patients reveals distinctive clinico-pathological characteristics: a study from central China [J]. Asian Pacific journal of cancer prevention: APJCP, 2019, 015 (004): 1621-6. |
APA Style
Hao Qi. (2022). Ecological System of Lingnan Ancient Villages Based on Database Construction. American Journal of Information Science and Technology, 6(4), 81-85. https://doi.org/10.11648/j.ajist.20220604.11
ACS Style
Hao Qi. Ecological System of Lingnan Ancient Villages Based on Database Construction. Am. J. Inf. Sci. Technol. 2022, 6(4), 81-85. doi: 10.11648/j.ajist.20220604.11
@article{10.11648/j.ajist.20220604.11, author = {Hao Qi}, title = {Ecological System of Lingnan Ancient Villages Based on Database Construction}, journal = {American Journal of Information Science and Technology}, volume = {6}, number = {4}, pages = {81-85}, doi = {10.11648/j.ajist.20220604.11}, url = {https://doi.org/10.11648/j.ajist.20220604.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajist.20220604.11}, abstract = {The severe destruction of traditional villages has become a social problem, and this problem must be solved immediately in the context of rapid urbanization in China. As the millennium crystallization of the agricultural culture of various countries, the traditional village has a unique humanistic and natural landscape, with extremely high historical, cultural and economic value, and is an important link in the construction of the ecological culture of various countries. The purpose of this work is to study the ecosystem of Lingnan ancient villages based on the database. This research completely uses bibliographic data method, expert interview method, questionnaire survey method and decision analysis method. From the perspective of the laws of ancient sustainable rural ecosystems, according to the characteristics of modern rural development, the current problems are summarized, the existing problems, their causes, and solutions are proposed, namely, to build an ancient rural ecosystem with a database. This work analyzed in detail the ecosystem of the ancient villages in Lingnan, collected relevant parameters, and created a digital model of the ecosystem of the ancient villages in Lingnan. Combining the factors that affect the construction process of the ancient village ecosystem in Lingnan, it quantitatively translates it into computer language, formulates iteration stopping conditions, and then uses the database platform to establish a multi-factor system to perform its ancient quantitative optimization model. On this basis, the huge database resource utilization rate has increased the scientific utilization rate of nearly 50% of the ancient village ecosystem in Lingnan.}, year = {2022} }
TY - JOUR T1 - Ecological System of Lingnan Ancient Villages Based on Database Construction AU - Hao Qi Y1 - 2022/10/28 PY - 2022 N1 - https://doi.org/10.11648/j.ajist.20220604.11 DO - 10.11648/j.ajist.20220604.11 T2 - American Journal of Information Science and Technology JF - American Journal of Information Science and Technology JO - American Journal of Information Science and Technology SP - 81 EP - 85 PB - Science Publishing Group SN - 2640-0588 UR - https://doi.org/10.11648/j.ajist.20220604.11 AB - The severe destruction of traditional villages has become a social problem, and this problem must be solved immediately in the context of rapid urbanization in China. As the millennium crystallization of the agricultural culture of various countries, the traditional village has a unique humanistic and natural landscape, with extremely high historical, cultural and economic value, and is an important link in the construction of the ecological culture of various countries. The purpose of this work is to study the ecosystem of Lingnan ancient villages based on the database. This research completely uses bibliographic data method, expert interview method, questionnaire survey method and decision analysis method. From the perspective of the laws of ancient sustainable rural ecosystems, according to the characteristics of modern rural development, the current problems are summarized, the existing problems, their causes, and solutions are proposed, namely, to build an ancient rural ecosystem with a database. This work analyzed in detail the ecosystem of the ancient villages in Lingnan, collected relevant parameters, and created a digital model of the ecosystem of the ancient villages in Lingnan. Combining the factors that affect the construction process of the ancient village ecosystem in Lingnan, it quantitatively translates it into computer language, formulates iteration stopping conditions, and then uses the database platform to establish a multi-factor system to perform its ancient quantitative optimization model. On this basis, the huge database resource utilization rate has increased the scientific utilization rate of nearly 50% of the ancient village ecosystem in Lingnan. VL - 6 IS - 4 ER -