CACI

About: CACI is a company organization based out in Arlington, Virginia, United States. It is known for research contribution in the topics: SIMSCRIPT & Health care. The organization has 225 authors who have published 245 publications receiving 6298 citations. The organization is also known as: California Analysis Center, Incorporated & Consolidated Analysis Center, Incorporated.

Development of a Tool for Measuring and Analyzing Computer User Satisfaction

Abstract: This paper reports on a technique for measuring and analyzing computer user satisfaction. Starting with the literature and using the critical incident interview technique, 39 factors affecting satisfaction were identified. Adapting the semantic differential scaling technique, a questionnaire for measuring satisfaction was then created. Finally, the instrument was pilot tested to prove its validity and reliability. The results of this effort and suggested uses of the questionnaire are reported here.

Identifying differences between high‐ and low‐involvement exporters

Abstract: This article contrasts the export characteristics of high‐ and low‐involvement exporters in the Scottish food and beverage industry. Firms which derive more than 50 per cent of their turnover from export activity are designated as “high‐involvement” exporters while firms with a lesser dependence upon exporting are designated as “low‐involvement” exporters. Following an examination of the influence of organisational factors on export involvement, the two groups of firms are compared in terms of nine descriptors of export activity. Significant differences are established with regard to a number of export characteristics which are discussed in the light of previous evidence on export involvement.

'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators

Abstract: We describe the design, implementation, and evaluation of EMBERS, an automated, 24x7 continuous system for forecasting civil unrest across 10 countries of Latin America using open source indicators such as tweets, news sources, blogs, economic indicators, and other data sources. Unlike retrospective studies, EMBERS has been making forecasts into the future since Nov 2012 which have been (and continue to be) evaluated by an independent T&E team (MITRE). Of note, EMBERS has successfully forecast the uptick and downtick of incidents during the June 2013 protests in Brazil. We outline the system architecture of EMBERS, individual models that leverage specific data sources, and a fusion and suppression engine that supports trading off specific evaluation criteria. EMBERS also provides an audit trail interface that enables the investigation of why specific predictions were made along with the data utilized for forecasting. Through numerous evaluations, we demonstrate the superiority of EMBERS over baserate methods and its capability to forecast significant societal happenings.

The capabilities and art of state-dependent Riccati equation-based design

Abstract: State-dependent Riccati equation (SDRE) techniques are general design methods which provide a systematic and effective means of designing nonlinear controllers, observers, and filters. The paper provides an overview of the capabilities of SDRE control and goes into detail concerning the art of carrying out effective SDRE designs for both systems that conform and do not conform to the basic structure and conditions required by the method. The paper is centered around the SDRE nonlinear regulator. The following situations which prevent a straightforward application of the SDRE method to the control problem at hand are addressed: the existence of state-independent terms, the existence of state-dependent terms which do not go to zero as the state vector goes to zero, the existence of nonlinearity in the controls, and the existence of uncontrollable and unstable but bounded state dynamics.