ABSTRACT A review of collegiate strategic, contingency and disaster recovery plans suggests that ... more ABSTRACT A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
International Journal of Computational Science and Information Technology, 2022
We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and Op... more We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be very useful for researchers with limited access to high performance tools or limited funding.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
With the benefits of increased computing power and much improved software, temporal disaggregatio... more With the benefits of increased computing power and much improved software, temporal disaggregation is examined. Disaggregation, the process of obtaining high frequency data from low frequency data has been discussed for many years. This study examines three methods which utilize the autoregressive integrated moving average (ARIMA) model in a simulation study comparing parameter estimation, disaggregation mean square error, and forecast mean square error. Finally, the three methods are applied to a real-world time series. A Brief History of Disaggregation We start with the following notation: is the disaggregate series, is the aggregate series, and is the order of aggregation. There are total observations, with aggregate observations. (1) 1 mT Tt t m T Yx (1) Equation 1 can be written as: (1) (1) m T mT Y B B x , (2) where B j x t = x t-j. The actual process of disaggregation is the calculation of high frequency data from low frequency data; for example, converting quarterly data to monthly data. This process can be completed solely from the original series, or use multiple series in order to produce the final high frequency result. The seminal disaggregation literature (Lisman & Sandee, 1964) considered disaggregation of quarterly series. Lisman and Sandee's (1964) method of calculation lost the first and last observation of aggregate data. Boot, Feibes, and Lisman (1967) solved the loss of data issue with a first and second difference method for quarterly data. With their technique, only the first or second data points were lost. Finally, Cohen, Muller, and Padberg (1971) generalized the Boot method to all orders m of aggregation, rather than simply quarterly to monthly. This generalization of the Boot method can be written as:
A new approach for the implementation of variogram models and ordinary kriging using the R statis... more A new approach for the implementation of variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the " pbdDMAT " package within R on the Bridges and Stampede Supercomputers will be described. This new technique has led to great improvements in timing as compared to those in R alone, or R with C and MPI. These improvements include processing and forecasting vectors of size 25,000 in an average time of 6 minutes on the Stampede Supercomputer and 2.5 minutes on the Bridges Supercomputer as compared to previous processing times of 3.5 hours.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
ABSTRACT A review of collegiate strategic, contingency and disaster recovery plans suggests that ... more ABSTRACT A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
International Journal of Computational Science and Information Technology, 2022
We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and Op... more We considered building high performance tools on the Raspberry Pi 4. We implemented OpenMP and OpenCoarrays Fortran in conjunction with the statistical language R. We found that the OpenCoarrays is more effective when working with vectors, while OpenMP is better in the arena with large matrices in a geostatistics application. These results can be very useful for researchers with limited access to high performance tools or limited funding.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
With the benefits of increased computing power and much improved software, temporal disaggregatio... more With the benefits of increased computing power and much improved software, temporal disaggregation is examined. Disaggregation, the process of obtaining high frequency data from low frequency data has been discussed for many years. This study examines three methods which utilize the autoregressive integrated moving average (ARIMA) model in a simulation study comparing parameter estimation, disaggregation mean square error, and forecast mean square error. Finally, the three methods are applied to a real-world time series. A Brief History of Disaggregation We start with the following notation: is the disaggregate series, is the aggregate series, and is the order of aggregation. There are total observations, with aggregate observations. (1) 1 mT Tt t m T Yx (1) Equation 1 can be written as: (1) (1) m T mT Y B B x , (2) where B j x t = x t-j. The actual process of disaggregation is the calculation of high frequency data from low frequency data; for example, converting quarterly data to monthly data. This process can be completed solely from the original series, or use multiple series in order to produce the final high frequency result. The seminal disaggregation literature (Lisman & Sandee, 1964) considered disaggregation of quarterly series. Lisman and Sandee's (1964) method of calculation lost the first and last observation of aggregate data. Boot, Feibes, and Lisman (1967) solved the loss of data issue with a first and second difference method for quarterly data. With their technique, only the first or second data points were lost. Finally, Cohen, Muller, and Padberg (1971) generalized the Boot method to all orders m of aggregation, rather than simply quarterly to monthly. This generalization of the Boot method can be written as:
A new approach for the implementation of variogram models and ordinary kriging using the R statis... more A new approach for the implementation of variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the " pbdDMAT " package within R on the Bridges and Stampede Supercomputers will be described. This new technique has led to great improvements in timing as compared to those in R alone, or R with C and MPI. These improvements include processing and forecasting vectors of size 25,000 in an average time of 6 minutes on the Stampede Supercomputer and 2.5 minutes on the Bridges Supercomputer as compared to previous processing times of 3.5 hours.
A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger ... more A review of collegiate strategic, contingency and disaster recovery plans suggests that a larger vision and expanded distance education program is needed to meet the requirements of turbulent times, a changing student population, and expanded computer literacy. This article sets out guidelines for creating a communication plan and instructional mechanism for continuing learning when changing circumstances occur and disaster strikes. Those guidelines help a university move towards a systematic contingency hybridization of courses in an emergency.
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