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Input Conditions (input + condition)

Distribution by Scientific Domains

Engineering	40%
Business, Economics, Finance and Accounting	40%

Selected Abstracts

Design conditions for learning in community service contexts

JOURNAL OF ORGANIZATIONAL BEHAVIOR, Issue 4 2001
Caroline A. Bartel
In this study, we investigated team-based community service projects as action learning initiatives designed to facilitate two learning outcomes: community learning (knowledge of social, cultural, or economic issues) and personal learning (self-awareness of managerial attitudes and abilities). We developed hypotheses to predict critical input conditions for action learning that promote community and personal learning. We tested these hypotheses with data collected from 381 MBA students and their team leaders who participated in a variety of community service projects. Results demonstrated that design conditions (task characteristics, social interactions, and affective responses) influenced community and personal learning differently. We supplemented survey results with interview and observational data from a subset of participants and conclude with a discussion of the theoretical implications for action learning and practical recommendations for designing community service programs. Copyright © 2001 John Wiley & Sons, Ltd. [source]

WEPP INTERNET INTERFACES FOR FOREST EROSION PREDICTION,

JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, Issue 2 2004
William J. Elliot
ABSTRACT: The Water Erosion Prediction Project (WEPP) is a physically based erosion model for applications to dryland and irrigated agriculture, rangeland, and forests. U.S. Forest Service (USFS) experience showed that WEPP was not being adapted because of the difficulty in building files describing the input conditions in the existing interfaces. To address this difficulty, a suite of Internet interfaces with a database was developed to more easily predict soil erosion for a wide range of climatic and forest conditions, including roads, fires, and timber harvest. The database included a much larger climate database than was previously available for applications in remote forest and rangeland areas. Validation results showed reasonable agreement between erosion values reported in the literature and values predicted by the interfaces to the WEPP model. [source]

The broom and nonroutine processes: a metaphor for understanding variability in organizations

KNOWLEDGE AND PROCESS MANAGEMENT: THE JOURNAL OF CORPORATE TRANSFORMATION, Issue 3 2002
Paul Lillrank
Organizations are challenged to be simultaneously creative and predictable, flexible and efficient. These results are achieved by standard, routine and nonroutine elements requiring different kinds of management approaches. These types are often overlapping and difficult to articulate. This paper proposes a metaphor: the Broom, that can help explore the nature and dynamics of processes with a variable level of repetition and predictability. The hard, stick-end of the Broom illustrates repetitive processes that can be standardized, the opposite end nonroutines and chaos. The middle part represents routines, processes that are repeated in similar, but not identical ways. A task, process or organization can be positioned at the Broom depending on the level of repetition and predictability found in assessed input conditions, the mixture of tacit and explicit knowledge in the process algorithm linking assessment to action, and the degree to which targets are known and evaluated. Copyright © 2002 John Wiley & Sons, Ltd. [source]

Rayleigh assisted Brillouin effects in distributed Raman amplifiers under saturated conditions at 40 Gb/s

MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, Issue 6 2010
M. T. M. Rocco Giraldi
Abstract This article analyzes experimentally the limitations observed in lightwave systems using distributed Raman amplifiers operating under large pump power input conditions. The Brillouin effect is observed as the pump power reaches 1 W. The presence of Brillouin peaks degrades the performance of the system. The Raman amplification occurs in single mode and dispersion compensating fibers, being evaluated in a link at transmission rate of 40 Gb/s. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1331,1335, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25162 [source]

An integrated approach to optimization of Escherichia coli fermentations using historical data

BIOTECHNOLOGY & BIOENGINEERING, Issue 3 2003
Matthew C. Coleman
Abstract Using a fermentation database for Escherichia coli producing green fluorescent protein (GFP), we have implemented a novel three-step optimization method to identify the process input variables most important in modeling the fermentation, as well as the values of those critical input variables that result in an increase in the desired output. In the first step of this algorithm, we use either decision-tree analysis (DTA) or information theoretic subset selection (ITSS) as a database mining technique to identify which process input variables best classify each of the process outputs (maximum cell concentration, maximum product concentration, and productivity) monitored in the experimental fermentations. The second step of the optimization method is to train an artificial neural network (ANN) model of the process input,output data, using the critical inputs identified in the first step. Finally, a hybrid genetic algorithm (hybrid GA), which includes both gradient and stochastic search methods, is used to identify the maximum output modeled by the ANN and the values of the input conditions that result in that maximum. The results of the database mining techniques are compared, both in terms of the inputs selected and the subsequent ANN performance. For the E. coli process used in this study, we identified 6 inputs from the original 13 that resulted in an ANN that best modeled the GFP fluorescence outputs of an independent test set. Values of the six inputs that resulted in a modeled maximum fluorescence were identified by applying a hybrid GA to the ANN model developed. When these conditions were tested in laboratory fermentors, an actual maximum fluorescence of 2.16E6 AU was obtained. The previous high value of fluorescence that was observed was 1.51E6 AU. Thus, this input condition set that was suggested by implementing the proposed optimization scheme on the available historical database increased the maximum fluorescence by 55%. © 2003 Wiley Periodicals, Inc. Biotechnol Bioeng 84: 274,285, 2003. [source]