196 research outputs found
Predicting Ice-bed Topography using Predictive Modeling
No full textThe purpose of this research is to study how different machine learning and statistical models can be used to predict bedrock topography under the Greenland ice sheet using ice-penetrating radar and satellite imagery data. Accurate bed topography representations are crucial for understanding ice sheet stability and vulnerability to climate change. We explore nine predictive models including dense neural network, long-short term memory, variational auto-encoder, extreme gradient boosting (XGBoost), gaussian process regression, and kriging based residual learning. Model performance is evaluated with mean absolute error (MAE), root mean squared error (RMSE), coefficient of determination (R ² ), and terrain ruggedness index (TRI). In addition to testing various models, different interpolation methods, including nearest neighbor, bilinear, and kriging, are also applied in preprocessing. The XGBoost model with kriging interpolation exhibit strong predictive capabilities but demands extensive resources. Alternatively, the XGBoost model with bilinear interpolation shows robust predictive capabilities and requires fewer resources. These models effectively capture the complexity of the terrain hidden under the Greenland ice sheet with precision and efficiency, making them valuable tools for representing spatial patterns in diverse landscapes.We would like to thank Dr. Jianwu Wang, Homayra Alam and Omar Faruque as well as our collaborators Sikan Li and Mathieu Morlighem for their help throughout the project. We would also like to thank NSF (Big Data REU), UMBC, HPCF, and IHARPhttps://theghub.org/resources/514
Physiological and psychosocial occupational exposures and intermediate health outcomes in the general population
Get PDFIn this large general working population-based thesis, we observed that pesticides is the most potent occupational exposure that may impair lung function and may increase the risk to develop respiratory symptoms and airway obstruction. Metals exposure may increase the prevalence of sickness absence among workers. Experiencing high job strain and high effort-reward imbalance in the workplace may increase blood pressure. Future studies should consider to include a detailed job history to detect the health effects of occupational exposures over the life course. In addition, future research should focus on the causal associations between occupational exposures and health effects through genetic and epigenetic analyses. The results of these future studies may point towards future preventive and therapeutic measures. Targeted preventive measures should be implemented to protect workers from exposure to pesticides and its components, metals, job strain, and effort-reward imbalance to ensure healthy working lives
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data
No full textThe growing availability and importance of time series data across various domains, including environmental science, epidemiology, and economics, has led to an increasing need for time-series causal discovery methods that can identify the intricate relationships in the non-stationary, non-linear, and often noisy real world data. However, the majority of current time series causal discovery methods assume stationarity and linear relations in data, making them infeasible for the task. Further, the recent deep learning-based methods rely on the traditional causal structure learning approaches making them computationally expensive. In this paper, we propose a Time-Series Causal Neural Network (TS-CausalNN) - a deep learning technique to discover contemporaneous and lagged causal relations simultaneously. Our proposed architecture comprises (i) convolutional blocks comprising parallel custom causal layers, (ii) acyclicity constraint, and (iii) optimization techniques using the augmented Lagrangian approach. In addition to the simple parallel design, an advantage of the proposed model is that it naturally handles the non-stationarity and non-linearity of the data. Through experiments on multiple synthetic and real world datasets, we demonstrate the empirical proficiency of our proposed approach as compared to several state-of-the-art methods. The inferred graphs for the real world dataset are in good agreement with the domain understanding.This work was partially supported by the DOE Office of Science Early Career
Research Program. This work was performed under the auspices of the U.S.
Department of Energy (DOE) by LLNL under contract DE-AC52-07NA27344.
LLNL-CONF-846980. Faruque, Ali and Wang were also partially supported by
grants OAC-1942714 and OAC-2118285 from the U.S. National Science Foundation (NSF).https://arxiv.org/abs/2404.01466v
Performance Evaluation of Private Commercial Banks of Bangladesh: A Trend Analysis
Get PDFThe study revealed the trend analysis of the private commercial banks and given an overview of the performance of private commercial banks of Bangladesh. Nowadays, the banking sector is the “lifeblood” of all economic activity. The study is empirical. To get the proper understanding about the trend of different variables such as, investment loan & advancement, total asset, total liability, total equity, profit after tax, return on investment, return on asset, and return on equity from 2013 to 2017 the sample was extracted from the scheduled commercial banks. The result shows that the banking system of Bangladesh is not running at a normal pace. The index of the various variable of PCBs has progressed in some years, but again it has been delayed for the next time. The ROI and the ROA result show the best output in 2014 and the worst in 2017. On the other side, the best return on equity shows in 2014, but it is in the lowest position in 2015 because of a sudden increase in an equity position. The trend of profit after tax is like a wave. In 2014 and 2016 it is increased than the last year. On the other hand, in 2013, 2015 & 2017 it is decreased in comparison to the previous year. The data shows that the PAT is rotated within 15,000 to 20000 million taka. It is studied that, the growth and development, as well as the performance trend, is not rhythmic. PCBs should get the proper rhythm of their development, and for the development of the state
Security Analysis of Banking Industry in Bangladesh
Get PDFThe paper aims to know what about the procedure of analysis for determining the investment decision in the stock market on by studying different method of the securities analysis. This study is an attempt to highlight the different securities analysis methods for making the rational decision about the investment in the stock market. The security analyses show the result of fundamental and technical tools of analyses. The study reveals that Uttara bank Ltd. among the selected three banks is doing well and one can go for making an investment decision. The report mainly focuses on the decision criteria to purchase and to sell the securities and when to do so
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DEVELOPMENT OF A GENERALIZED CONSTITUTIVE MODEL AND ITS IMPLEMENTATION IN SOIL-STRUCTURE INTERACTION (PLASTICITY).
No full textThe general principles of continuum mechanics such as conservation of mass, conservation of momenta, first and second law of thermodynamics are applicable to all materials irrespective of their internal constitutions. These principles alone do not provide sufficient equations to obtain solutions for any boundary value problems. The additional equations are provided by the constitutive laws. There are many groups of constitutive theories. Of them, the theory of plasticity describes rate independent nonlinear and inelastic behavior of materials. A plasticity-based constitutive law is proposed herein for geological materials. The model, however, may also be used for other frictional materials. A generalized approach is followed in formulating the proposed constitutive model. The technique can be used to construct plasticity-based constitutive models for any other materials. A series of laboratory tests are performed on cubical soil specimens using a truly triaxial testing device. The testing device is such that the samples can be subjected to a general three-dimensional state of stress. The test data is used to determine the material constants associated with the proposed constitutive model. The model is then verified by back-predicting the stress-strain curves obtained from the laboratory. As a final step, the proposed constitutive model is implemented into a three-dimensional finite element procedure. A number of boundary value problems are analyzed using the proposed model. The results are compared with the observation. It is found that the proposed model can effectively characterize the nonlinear and inelastic response of frictional materials. Although the proposed model is investigated with respect to soils, it can also be applied for concrete, rocks, etc.This item was digitized from a paper original and/or a microfilm copy. If you need higher-resolution images for any content in this item, please contact us at [email protected] file replaced with corrected file April 2023
The role of interface elements in finite element analysis of geotechnical engineering problems.
No full textFinancial Performance Analysis of DSE Listed Shariah-Based Islami Banks in Bangladesh
No full textThe aim of this paper is to show the impact of selected firm specific factors on the performance Dhaka
Stock Exchange- DSE listed Sharia-based Islamic banks of Bangladesh. The quantitative research method
STATA 14.2 is used in this study. Secondary panel data of 5 Banking Companies spanning from 2016 to
2022 (35 observations) has been used for this study. The Return On Assets serves as the dependent
variable, whereas Investment Deposit Ratio, Capital Adequacy Ratio, Classified Investment to total
Investment, Inward remittance, and Cost of Fund serves as independent variables. Pearson’s correlation
matrix, ordinary least square regression, and a few econometrics tests have been employed for the analysis
purpose. The empirical results found that inward remittance has significant and positive association with
the changes in Return on Assets. All other explanatory variables other than Classified Investment to total
Investment have positive but insignificant impact on the changes in the explained variable. All the
econometrics tests for testing the fitness of the OLS regression model advocate that the developed
regression model is fit
Application of Local Linearization to Supercavitating Compressible Flows past a Wedge(超高速液流における対称くさび空どうへの局所線形化法の応用)
Get PDFapplication/pdf博士学位論文の要旨及び審査結果の要旨 (Summary of Thesis(DR))364311 bytesT1S56858othe
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