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Deployment Strategy (deployment + strategy)

Distribution by Scientific Domains

Engineering	28%

Selected Abstracts

An object-oriented design and reference implementation for web-based instructional software

COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, Issue 1 2005
Shrimalini Jayaramaraja
Abstract There is an increasing global demand for web-based instructional software. The functional requirements and object-oriented design for a typical web-based instructional system are presented here using the Unified Modeling Language (UML). An interactive, reusable and scalable reference implementation of this model is developed in Java. Several deployment strategies are discussed. © 2005 Wiley Periodicals, Inc. Comput Appl Eng Educ 13: 26,39, 2005; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20027 [source]

Use of response functions in selecting lodgepole pine populations for future climates

GLOBAL CHANGE BIOLOGY, Issue 12 2006
T. WANG
Abstract Although growth response functions have previously been developed for lodgepole pine (Pinus contorta Dougl. ex Loud.) populations in British Columbia, new analyses were conducted: (1) to demonstrate the merit of a new local climate model in genecological analysis; (2) to highlight new methods for deriving response functions; and (3) to evaluate the impacts of management options for existing geographically defined seed planning units (SPUs) for reforestation. Results of this study suggest that new methods for anchoring population response functions, and a multivariate approach for incorporating climate variables into a single model, considerably improve the reliability of these functions. These functions identified a small number of populations in central areas of the species distribution with greater growth potential over a wide range of mean annual temperature (MAT). Average productivity of lodgepole pine is predicted to increase (up to 7%) if moderate warming (,2°C MAT) occurs in the next few decades as predicted, although productivity would substantially decline in some SPUs in southern BC. Severe global warming (>3°C MAT) would result in either a drastic decline in productivity or local populations being extirpated in southern SPUs. New deployment strategies using the best seed sources for future reforestation may not only be able to mitigate the negative impact of global warming, but may even be able to increase productivity in some areas. [source]

The Coast Guard charts a course for enterprise change management

GLOBAL BUSINESS AND ORGANIZATIONAL EXCELLENCE, Issue 1 2009
Stephen Wehrenberg
After eight years of being buffeted by gale-force winds of change, the Coast Guard knew it was time for a structured enterprisewide approach to change management. The tougher question was how to deploy it when the organization's culture and its structural and dynamic complexity would likely trigger strong resistance to a new program in a nonoperational area that was mandated from the top. The author describes how change champions arrived at a bottom-up deployment strategy that mirrors the culture's reliance on stories and heroes to seed behavioral change, and that leverages long-standing organizational strengths of local agility, learning, and commitment to mission performance. © 2009 Wiley Periodicals, Inc. [source]

Nonlinear optimization of autonomous undersea vehicle sampling strategies for oceanographic data-assimilation

JOURNAL OF FIELD ROBOTICS (FORMERLY JOURNAL OF ROBOTIC SYSTEMS), Issue 6 2007
Kevin D. Heaney
The problem of how to optimally deploy a suite of sensors to estimate the oceanographic environment is addressed. An optimal way to estimate (nowcast) and predict (forecast) the ocean environment is to assimilate measurements from dynamic and uncertain regions into a dynamical ocean model. In order to determine the sensor deployment strategy that optimally samples the regions of uncertainty, a Genetic Algorithm (GA) approach is presented. The scalar cost function is defined as a weighted combination of a sensor suite's sampling of the ocean variability, ocean dynamics, transmission loss sensitivity, modeled temperature uncertainty (and others). The benefit of the GA approach is that the user can determine "optimal" via a weighting of constituent cost functions, which can include ocean dynamics, acoustics, cost, time, etc. A numerical example with three gliders, two powered AUVs, and three moorings is presented to illustrate the optimization approach in the complex shelfbreak region south of New England. © 2007 Wiley Periodicals, Inc. [source]

An analysis of capital expenses and performance trade-offs among IMS CSCF deployment options

BELL LABS TECHNICAL JOURNAL, Issue 4 2008
Anne Lee
Service providers around the world are deploying or planning to deploy the IP Multimedia Subsystem (IMS) in their core networks. IMS allows the delivery of new multimedia applications that can enhance the user's experience and bring in new revenue for the operators. These operators are now faced with deciding how to best deploy the various IMS functional elements in their networks. In this paper, the authors provide a survey of the various options available to the operators and present an analysis of some of those deployment options. In particular, the paper addresses questions around the advantages and disadvantages of centralizing or distributing control functions such as the call session control function (CSCF) in terms of capital expenditure (CAPEX) costs and latency trade-offs. Without the proper deployment strategy, there can be major differences in the overall cost of the network and therefore it is important to perform such an analysis. Initial recommendations and general observations are given that can assist network planners and operators to more efficiently develop an IMS deployment strategy. Further analysis and study that includes operational expenditure (OPEX) costs should also be factored into the final decision. © 2008 Alcatel-Lucent. [source]

Reducing Ambulance Response Times Using Geospatial,Time Analysis of Ambulance Deployment

ACADEMIC EMERGENCY MEDICINE, Issue 9 2010
Marcus Eng Hock Ong MBBS (S'pore)
ACADEMIC EMERGENCY MEDICINE 2010; 17:951,957 © 2010 by the Society for Academic Emergency Medicine Abstract Objectives:, This study aimed to determine if a deployment strategy based on geospatial,time analysis is able to reduce ambulance response times for out-of-hospital cardiac arrests (OOHCA) in an urban emergency medical services (EMS) system. Methods:, An observational prospective study examining geographic locations of all OOHCA in Singapore was conducted. Locations of cardiac arrests were spot-mapped using a geographic information system (GIS). A progressive strategy of satellite ambulance deployment was implemented, increasing ambulance bases from 17 to 32 locations. Variation in ambulance deployment according to demand, based on time of day, was also implemented. The total number of ambulances and crews remained constant over the study period. The main outcome measure was ambulance response times. Results:, From October 1, 2001, to October 14, 2004, a total of 2,428 OOHCA patients were enrolled into the study. Mean ± SD age for arrests was 60.6 ± 19.3 years with 68.0% male. The overall return of spontaneous circulation (ROSC) rate was 17.2% and survival to discharge rate was 1.6%. Response time decreased significantly as the number of fire stations/fire posts increased (Pearson ,2 = 108.70, df = 48, p < 0.001). Response times for OOHCA decreased from a monthly median of 10.1 minutes at the beginning to 7.1 minutes at the end of the study. Similarly, the proportion of cases with response times < 8 minutes increased from 22.3% to 47.3% and < 11 minutes from 57.6% to 77.5% at the end of the study. Conclusions:, A simple, relatively low-cost ambulance deployment strategy was associated with significantly reduced response times for OOHCA. Geospatial,time analysis can be a useful tool for EMS providers. [source]