International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California / Selecting an airborne data acquisition system involves compromises. No single data acquisition system can be at the same time, lowest cost, smallest, easiest to use and most accurate. The only way to come to a reasonable decision is to carefully plan the project, taking into account what measurements will be required, what are the physical environments involved, what personnel and resources will be needed and of course, how much money is available in the budget? Getting the right mix of equipment, resources and people to do the job within the schedule and the budget is going to involve a number of tradeoffs. A good plan and a thorough knowledge of available resources and equipment will allow you make the necessary decisions. Hopefully, this paper will offer some suggestions that will aid in preparing your plan and give some insight into available system alternatives.

Submitted by Rosangela Silva (rosangela.silva3@unioeste.br) on 2018-11-26T21:52:56Z No. of bitstreams: 2 Luis Claudio Sampaio.pdf: 2726458 bytes, checksum: a945e17875694074ea2acad820f69396 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2018-11-26T21:52:56Z (GMT). No. of bitstreams: 2 Luis Claudio Sampaio.pdf: 2726458 bytes, checksum: a945e17875694074ea2acad820f69396 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2018-08-18 / The advancement of Information and Communication Technology has required high and increasing investments in information systems and technological infrastructure. In this context, management systems are strategic for companies, because they bring with them practices, resources and functionalities capable of creating or even destroying competitive differential in companies. Thus, selecting a system appropriate to the needs and expectations of organizations is a costly, time-consuming and difficult task, since a broad set of criteria that exceed functionalities, such as support for strategic development; the costs; growth; the expansion of the business and the qualification of the supplier regarding the evolution of the product, technology, consultants and technical support, should be considered in the acquisition of the systems. This work presents a structured approach to software acquisition supported by the Analytic Hierarchy Process, whose objective is to support the acquisition of Enterprise Resource Planning systems, considering the various criteria present in these projects. Its application is demonstrated from a case study and the results achieved indicated a classification among the candidate suppliers, indicating that the presented approach has the potential to be applied in several types of organizations / O avanço da Tecnologia da Informação e Comunicação tem exigido investimentos elevados e crescentes em sistemas de informação e infraestrutura tecnológica. Nesse contexto, os sistemas de gestão são estratégicos para as empresas, pois trazem consigo práticas, recursos e funcionalidades capazes de criar ou mesmo destruir diferencial competitivo nas empresas. Assim, selecionar um sistema adequado às necessidades e expectativas das organizações é uma tarefa custosa, demorada e difícil, pois um amplo conjunto de critérios, que excedem as funcionalidades, tais como suporte ao desenvolvimento estratégico; os custos; o crescimento; a ampliação dos negócios e a qualificação do fornecedor quanto a evolução do produto, tecnologia, consultores e suporte técnico, devem ser considerados na aquisição dos sistemas. Este trabalho apresenta uma abordagem estruturada de aquisição de software apoiada pelo método Analytic Hierarchy Process, cujo objetivo é apoiar a aquisição de sistemas de Enterprise Resource Planning, considerando os vários critérios presentes nesses projetos. Sua aplicação é demonstrada a partir de um estudo de caso e os resultados alcançados apontaram uma classificação entre os fornecedores candidatos, indicando que a abordagem apresentada tem potencial para ser aplicada em diferentes tipos de organizações

Approved for public release, distribution is unlimited / This study evaluated the sensitivity of TAWS detection range calculations to the spatial resolution of scenario backgrounds. Sixteen independent sites were analyzed to determine TAWS background. Multispectral satellite data were processed to different spatial resolutions from 1m to 8km. The resultant imagery was further processed to determine TAWS background type. The TAWS background type was refined to include soil moisture characteristics. Soil moisture analyses were obtained using in situ measurements, the Air Force's Agricultural-Meteorological (AGRMET) model and the Army's Fast All-seasons Soil Strength (FASST) model. The analyzed imagery was compared to the current default 1o latitude by 1o of longitude database in TAWS. The use of the current default TAWS background database was shown to result in TAWS ranges differing from the 1m standard range by 18-23%. The uncertainty was reduced to 5% when background resolution was improved to 8km in rural areas. By contrast, in urban regions the uncertainty was reduced to 14% when spatial resolution was reduced to 30m. These results suggest that the rural and urban designations are important to the definition of a background database. / First Lieutenant, United States Air Force