Investigating information systems analysts' possession of tacit organisational knowledge

Outsourcing of Information Technology (IT) services which are central to business strategy may be risky. Managers have made the outsourcing decision both to concentrate financially on the core competencies and to rid themselves of a troublesome and cost inefficient department. More recent research has, however, cast doubt on the promises of huge savings. In this paper, we consider the likelihood that outsourcing may lead to the loss of organisational knowledge - that organisations outsourcing their total Information Systems operations may also have lost irreplaceable tacit, cross-functional knowledge which subsisted within the minds of the professional systems analysts. The findings of our research revealed that expert systems analysts possess a unique organisational understanding and draw on this knowledge to operate efficiently in their environment. We present a model that will allow future researchers to build on our findings and examine whether outsourcing can lead to a loss of organisational memory.

Clinical practice guidelines for management of parkinson’s disease : a systematic critical appraisal

Trabalho Final do Curso de Mestrado Integrado em Medicina, Faculdade de Medicina, Universidade de Lisboa, 2014

The Individual development and performance system : DP-201MC /

"The development of this material was made possible in part by a grant from the United States Office of Personnel Management, Chicago Region, under the Intergovernmental Personnel Act (P.L. 91-648)"

Energy Management of a Battery-Ultracapacitor Hybrid Energy Storage System in Electric Vehicles

Electric vehicle (EV) batteries tend to have accelerated degradation due to high peak power and harsh charging/discharging cycles during acceleration and deceleration periods, particularly in urban driving conditions. An oversized energy storage system (ESS) can meet the high power demands; however, it suffers from increased size, volume and cost. In order to reduce the overall ESS size and extend battery cycle life, a battery-ultracapacitor (UC) hybrid energy storage system (HESS) has been considered as an alternative solution. In this work, we investigate the optimized configuration, design, and energy management of a battery-UC HESS. One of the major challenges in a HESS is to design an energy management controller for real-time implementation that can yield good power split performance. We present the methodologies and solutions to this problem in a battery-UC HESS with a DC-DC converter interfacing with the UC and the battery. In particular, a multi-objective optimization problem is formulated to optimize the power split in order to prolong the battery lifetime and to reduce the HESS power losses. This optimization problem is numerically solved for standard drive cycle datasets using Dynamic Programming (DP). Trained using the DP optimal results, an effective real-time implementation of the optimal power split is realized based on Neural Network (NN). This proposed online energy management controller is applied to a midsize EV model with a 360V/34kWh battery pack and a 270V/203Wh UC pack. The proposed online energy management controller effectively splits the load demand with high power efficiency and also effectively reduces the battery peak current. More importantly, a 38V-385Wh battery and a 16V-2.06Wh UC HESS hardware prototype and a real-time experiment platform has been developed. The real-time experiment results have successfully validated the real-time implementation feasibility and effectiveness of the real-time controller design for the battery-UC HESS. A battery State-of-Health (SoH) estimation model is developed as a performance metric to evaluate the battery cycle life extension effect. It is estimated that the proposed online energy management controller can extend the battery cycle life by over 60%.