2,814 research outputs found
R.M. Simmons presentation, Rena Smart book review
No full textR.M. Simmons of the Gospel Music Workshop of America gives a presentation on the African influence in the African American religious experience. He explains how African slaves brought to America their concept of music (utilitarian concept of music). Simmons further discusses the fusion between the utilitarian concept and the Western concept of religion resulting in spirituals. He also describes hymn categories in early forms of formal African American worship experiences. Simmons takes questions from the audience among which is Dr. Riggins Earl Jr. Video concludes with a book review on Christian Theology and Ethics by Rena Smart.The Atlanta University Center Robert W. Woodruff Library acknowledges the generous support of the National Endowment for Humanities - Humanities Collections and Reference Resources Implementation Project Grant in supporting the processing and digitization of a number of its major archival collections as part of the project: Spreading the Word: Expanding Access to African American Religious Archival Collections at the Atlanta University Center Robert W. Woodruff Library.</em
A toolkit for streaming process data analysis
No full textThis paper presents a software toolkit that can be used to analyze event data streams in real-time. It has a specific focus on stochastic analysis of business processes, based on event data that is produced during the execution of those processes. The toolkit provides a software environment that facilitates easy connection to event data streams and quick development and testing of analysis and visualization techniques. It is developed by classifying existing techniques for streaming process data analysis, which are identified in the current literature, and by extracting and formalizing the core mechanisms that these techniques are based on. These core mechanisms serve as the basis for the toolkit. The toolkit is implemented and made available as open source. In this way it can facilitate quick prototyping of streaming process data analysis techniques
A Classification of Differences between Similar Business Processes
No full textTo unify similar business processes, such as processes of similar business units or similar organizations, the similarities and differences between these business processes must be detected and the differences must be resolved. This paper presents a classification that describes frequently occurring differences between business processes. This classification is helpful in the difference detection step. We discovered the differences in practice by comparing processes that we obtained from different business units in two organizations. The classification helps when merging processes in case of a merger between organizations. It also helps when merging processes to construct a standardized process and when verifying whether a party adheres to that standardized process. 1
Velocity-Gradient Probability Distribution Functions in a Lagrangian Model of Turbulence
No full textThe Recent Fluid Deformation Closure (RFDC) model of lagrangian turbulence is recast in path-integral language within the framework of the Martin-Siggia-Rose functional formalism. In order to derive analytical expressions for the velocity-gradient probability distribution functions (vgPDFs), we carry out noise renormalization in the low-frequency regime and find approximate extrema for the Martin-Siggia-Rose effective action. We verify, with the help of Monte Carlo simulations, that the vgPDFs so obtained yield a close description of the single-point statistical features implied by the original RFDC stochastic differential equations
Predicting throughput time
Full text linkAvailability of machines is very important in achieving operational excellence. In Aerospace, this need is especially high, to make sure that airplanes can keep up with flight plans and passengers, as well as cargo, can get to their destination in time. However, machines have to be maintained from time to time. Then, it helps to have a good estimate of when the maintenance activity will be ready. This enables the maintenance department to take appropriate measures, such as keeping the optimal number of spare parts in stock and optimally planning for down time of the machine. This operations practice describes how Fokker Services implemented a technique for predicting the throughput time of their maintenance activities on airplane engines. It shows that they managed to improve their throughput time prediction, which potentially means a higher customer satisfaction can be achieved. Moreover, the techniques that they use to predict the throughput time of a repair, can also be used to predict the expected time until the next repair or maintenance action is necessary. We expect that – with the advent of Internet of Things – such ‘data-driven condition based maintenance’, will not just be important for Fokker Services, but for all companies that maintain expensive machinery
Feedback on differences between business processes
Full text linkThis paper presents techniques to pinpoint differences between business processes. We say that two processes are different if they are not (completed trace) equivalent. We developed techniques to point out where two processes are different and to explain why they are different. This in contrast to techniques that provide simple true/false answers about whether two processes are equivalent or not. We developed the techniques by first formalizing frequently occurring differences that we discovered in practice and
subsequently developing the algorithms that detect these differences. The techniques can be used for various purposes, such as detecting differences between processes in a merger between organizations
Predicting throughput time
Full text linkAvailability of machines is very important in achieving operational excellence. In Aerospace, this need is especially high, to make sure that airplanes can keep up with flight plans and passengers, as well as cargo, can get to their destination in time. However, machines have to be maintained from time to time. Then, it helps to have a good estimate of when the maintenance activity will be ready. This enables the maintenance department to take appropriate measures, such as keeping the optimal number of spare parts in stock and optimally planning for down time of the machine. This operations practice describes how Fokker Services implemented a technique for predicting the throughput time of their maintenance activities on airplane engines. It shows that they managed to improve their throughput time prediction, which potentially means a higher customer satisfaction can be achieved. Moreover, the techniques that they use to predict the throughput time of a repair, can also be used to predict the expected time until the next repair or maintenance action is necessary. We expect that – with the advent of Internet of Things – such ‘data-driven condition based maintenance’, will not just be important for Fokker Services, but for all companies that maintain expensive machinery
Mismatch patterns in similar business processes
Full text linkTo unify similar business processes, such as processes of similar business units or similar organizations, the similarities and differences between
these business processes must be detected and the differences must be resolved.
This paper presents a collection of patterns that describe frequently occurring
mismatches between similar business processes. These patterns are helpful in
the mismatch detection step. We discovered them in practice by comparing
processes that we obtained from different business units in two organizations.
The patterns help when merging processes in case of a merger between
organizations. They also help when merging processes to construct a
standardized process that allows organizations that adhere to the standard to
interact successfully
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