International Journal Of Engineering Technology And Management Sciences

AUTHOR(S)

Mr. Om B Khadka, Ayan Gupta, Ayushmaan Paul, Sayantan Adhikary, Dr.Avijit Kumar chaudhari, Prof.Dilip K.Banerjee, Dr.Anirban Das

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.014

ABSTRACT
A bridge is a structure that spans a valley, road, river, body of water, or any other physical barrier. The architecture of a bridge may vary depending on the nature of the area where it will be built. The first bridge was created by nature itself, with a log falling across a stream or rocks in a river. The first man-made bridges were probably constructed using wood or timbers, and later, stones were used to support a crossbar system. Some early bridges used trees or bamboo poles to cross small tunnels or wells to get from one place to another. Lashing sticks, logs, and a common form of bridge construction involved the use of temporary branches woven together with long trunks or other fibers to form a connecting rope capable of withstanding weight. Mountainous areas pose a unique problem for constructing bridges due to varying climates, geological features, and hydrology parameters. Based on bridge sites and various constraints, types of bridges and construction methods are carefully selected for safe, profitable, and successful completion of the bridge. Human habitation and plants have spread up to 14,000 to 16,000 feet above mean sea level. An innovative idea would involve the installation of an adjunct bridge to provide services such as education, medical facilities, and workplaces. Data has been analyzed using the Random Forest method. In this research, we predicted the technical feasibility of building a trail bridge depending on factors such as total population, total households, river type, total DAG, DDH, DRH, etc. The model was evaluated using 50-50%, 66-34%, and 80-20% train-test splits, and 10-fold cross-validation, with an accuracy of approximately 97%.In this study, the authors collected data by mobilizing local NGOs and informing the public through local radio. A comprehensive study was conducted to collect nationwide bridge demand. With the project management information system developed by Om B Khadka, Head of IT and Knowledge Management, serves as the secondary source.

Page No: 112 - 120

References:

[1] International Journal of Advances in Engineering and Management (IJAEM) Volume 2, Issue 1, pp: 655-682 www.ijaem.net ISSN: 2395-5252(A Study on Construction Challenges of Bridges in The Hilly Areas by Rahul Yadav)
[2] Pal, S. S., Paul, S., Dey, R., Das, S., & Chaudhuri, A. K. Determining the probability of poverty levels of the Indigenous Americans and Black Americans in the US.
[3] Althaqafi E, Chou E. Developing Bridge Deterioration Models Using an Artificial Neural Network. Infrastructures. 2022; 7(8):101. https://doi.org/10.3390/infrastructures7080101
[4] Oluwaseun Priscilla Olawale, Fezile Ozdamli, Kamil Dimililer, "Data Mining Techniques for the Classification of Medical Cases: A Survey", 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), pp.68-73, 2021.
[5] Einstein, A., B. Podolsky, and N. Rosen, 1935, Phys. Rev. 47, 777-780.
[6] Aziz Saaidia, Ahmed Belaadi, Abdelkrim Haddad. (2022) Moisture Absorption of cork-based Biosandwich Material Extracted from Quercussuber L. Plant: ANN and Fick’s Modelling. Journal of Natural Fibers 19:16, pages 12486-12503.
[7] Hu, J., & Dong, F. (2022). Finite Element of Nanoscale Carbon Fiber-Reinforced Concrete Bridge Engineering Monitoring Based on Data Mining Technology. Advances in Materials Science and Engineering, 2022.
[8] D. Petkov, O. Petkova, T. Andrew, T. Nepal,
Mixing Multiple Criteria Decision Making with soft systems thinking techniques for decision support in complex situations,Decision Support Systems,Volume 43, Issue 4,2007,
[9] Pal, S. C., Islam, A. R. M. T., Chakrabortty, R., Islam, M. S., Saha, A. , & Shit, M. (2022). Application of data-mining technique and hydro-chemical data for evaluating vulnerability of groundwater in Indo-Gangetic Plain. Journal of Environmental Management, 318, 115582.
[10] Cutler, A., Cutler, D. R., & Stevens, J. R. (2012). Random forests. Ensemble machine learning: Methods and applications, 157-175.
[11] Baruah, R. D., Roy, S., Bhagat, R. M., & Sethi, L. N. (2016, December). Use of data mining technique for prediction of tea yield in the face of climate change of Assam, India. In 2016 international conference on information technology (ICIT) (pp. 265-269). IEEE.
[12] Pennington, Deana, et al. "Bridging sustainability science, earth science, and data science through interdisciplinary education." Sustainability Science 15 (2020): 647-661.
[13] Kumar, Akshay, Alok Bhushan Mukherjee, and Akhouri Pramod Krishna. "Application of conventional data mining techniques and web mining to aid disaster management." Environmental Information Systems: Concepts, Methodologies, Tools, and Applications. IGI Global, 2019. 369-398.
[14] Ratadiya, P., & Moorthy, R. (2019). Spam filtering on forums: A synthetic oversampling based approach for imbalanced data classification. arXiv preprint arXiv:1909.04826.
[15] Machine Learning Mastery, Random Oversampling and Undersampling for Imbalanced Classification.
[16] Ron Zacharski, Author of A Programmer's Guide to Data Mining, Training Sets, Test Sets, and 10-fold Cross-validation.
[17] Wikipedia, Random Forest
[18] Jehad Ali, Rehanullah Khan, Nasir Ahmad, Random Forests and Decision Trees
[19] Guide To Data Cleaning: Definition, Benefits, Components, And How To Clean Your Data, tableau.
[20] Satyam Kumar,7 Over Sampling techniques to handle Imbalanced Data
[21] Animesh Samanta, Akash Chowdhury , Dip Das , Arup Kumar Dey , Mrs. Sulekha Das,Prediction through machine learning on the dependence of job prospects in the Afro-American community on proficiency in English

How to Cite This Article:
Mr. Om B Khadka, Ayan Gupta, Ayushmaan Paul, Sayantan Adhikary, Dr.Avijit Kumar chaudhari, Prof.Dilip K.Banerjee, Dr.Anirban Das . Prediction Of Technical Feasibility For Building BridgesIn Nepal By Using Data Mining Technique . ijetms;7(2):112-120. DOI: 10.46647/ijetms.2023.v07i02.014