Integrated monitoring and surveillance system for SNM.

Complex special nuclear material (SNM) storage systems can benefit from automated monitoring and data integration systems that maximize safety and security and optimize system maintainability. Current methods of verification, which rely on physical access, are costly and labor intensive. A prototype data analysis. system for nuclear material monitoring is being developed through a joint effort by Argonne National Laboratory (ANL) and Lockheed Martin Idaho Technologies Company (LMITCO). The system synthesizes information from various sources and applies advanced data analysis to predict sensor faults and detect material instabilities and security/safeguards problems. The system makes use of Argonne's Multivariate State Estimation Technique, or MSET, to provide an early warning system for the performance of sensors and processes, The system is being implemented and tested at the Safeguard Technology Evaluation Laboratory (STEL) at ANL-W. The STEL was installed at a Fuel Manufacturing Facility (FMF) special nuclear materials vault at ANL-W in 1997 as part of a DOE Plutonium Focus Area Project. The STEL provides the infrastructure for the demonstration and integration of technologies for monitoring plutonium-bearing materials in various storage configurations. Real sensors located within the STEL are being used to ''calibrate'' and validate. software while simulated sensors are used to mockup larger-scale problems. Preliminary system design and testing results are discussed

Do agile managed information systems projects fail due to a lack of emotional intelligence?

YesAgile development methodologies (ADM) have become a widely implemented project management approach in Information Systems (IS). Yet, along with its growing popularity, the amount of concerns raised in regard to human related challenges caused by applyingADMare rapidly increasing. Nevertheless, the extant scholarly literature has neglected to identify the primary origins and reasons of these challenges. The purpose of this study is therefore to examine if these human related challenges are related to a lack of Emotional Intelligence (EI) by means of a quantitative approach. Froma sample of 194 agile practitioners, EI was found to be significantly correlated to human related challenges in agile teams in terms of anxiety, motivation, mutual trust and communication competence. Hence, these findings offer important new knowledge for IS-scholars, project managers and human resource practitioners, about the vital role of EI for staffing and training of agile managed IS-projects