Validating A knowledge transfer framework in health services

The study of knowledge transfer (KT) has been proceeding in parallel but independently in health services and in business, presenting an opportunity for synergy and sharing. This paper uses a survey of 32 empirical KT studies with their 96 uniquely named determinants of KT success to identify ten unique determinants for horizontal knowledge transfer success. These determinants, the outcome measure of Knowledge Use, and separate explicit and tacit transfer flows constitute the KT Framework, extending the work of previous KT framework authors. Our Framework was validated through a case study of the transfer of clinical practice guideline knowledge between the cardiac teams of selected Ontario hospitals, using a survey of senders and receivers developed from the KT literature. The study findings were: 8 of 10 determinants were supported by the Successful Transfer Hospitals; and 4 of 10 determinants were found to a higher degree in the Successful than non-Successful transfer hospitals. Taken together, the results show substantive support for the KT Framework determinants, indicating aggregate support of 9 of these determinants, but not the 10th - Knowledge Complexity. The transfer of tacit knowledge was found to be related to the transfer of the explicit knowledge and expressed as the transfer or recreation of resource profile and internal process tacit knowledge, where this tacit transfer did not require interactions between Sender and Receiver. This study provides managers with the building blocks to assess and improve the success rates of their knowledge transfers.

Biblioteca para a realização de security token services

A família de especificações WS-* define um modelo de segurança para web services, baseado nos conceitos de claim, security token e Security Token Service (STS). Neste modelo, a informação de segurança dos originadores de mensagens (identidade, privilégios, etc.) é representada através de conjuntos de claims, contidos dentro de security tokens. A emissão e obtenção destes security tokens, por parte dos originadores de mensagens, são realizadas através de protocolos legados ou através de serviços especiais, designados de Security Token Services, usando as operações e os protocolos definidos na especificação WS-Trust. O conceito de Security Token Service não é usado apenas no contexto dos web services. Propostas como o modelo dos Information Cards, aplicável no contexto de aplicações web, também utilizam este conceito. Os Security Token Services desempenham vários papéis, dependendo da informação presente no token emitido. São exemplos o papel de Identity Provider, quando os tokens emitidos contêm informação de identidade, ou o papel de Policy Decision Point, quando os tokens emitidos definem autorizações. Este documento descreve o projecto duma biblioteca software para a realização de Security Token Services, tal como definidos na norma WS-Trust, destinada à plataforma .NET 3.5. Propõem-se uma arquitectura flexível e extensível, de forma a suportar novas versões das normas e as diversas variantes que os Security Token Services possuem, nomeadamente: o tipo dos security token emitidos e das claims neles contidas, a inferência das claims e os métodos de autenticação das entidades requerentes. Apresentam-se aspectos de implementação desta arquitectura, nomeadamente a integração com a plataforma WCF, a sua extensibilidade e o suporte a modelos e sistemas externos à norma. Finalmente, descrevem-se as plataformas de teste implementadas para a validação da biblioteca realizada e os módulos de extensão da biblioteca para: suporte do modelo associado aos Information Cards, do modelo OpenID e para a integração com o Authorization Manager.

Energy and ancillary services joint market simulation

In order to develop a flexible simulator, a variety of models for Ancillary Services (AS) negotiation has been implemented in MASCEM – a multi-agent system competitive electricity markets simulator. In some of these models, the energy and the AS are addressed simultaneously while in other models they are addressed separately. This paper presents an energy and ancillary services joint market simulation. This paper proposes a deterministic approach for solving the energy and ancillary services joint market. A case study based on the dispatch of Regulation Down, Regulation Up, Spinning Reserve, and Non-Spinning Reserve services is used to demonstrate that the use of the developed methodology is suitable for solving this kind of optimization problem. The presented case study is based on CAISO real AS market data considers fifteen bids.

ANN based day-ahead ancillary services forecast for electricity market simulation

Adequate decision support tools are required by electricity market players operating in a liberalized environment, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services (AS) represent a good negotiation opportunity that must be considered by market players. Based on the ancillary services forecasting, market participants can use strategic bidding for day-ahead ancillary services markets. For this reason, ancillary services market simulation is being included in MASCEM, a multi-agent based electricity market simulator that can be used by market players to test and enhance their bidding strategies. The paper presents the methodology used to undertake ancillary services forecasting, based on an Artificial Neural Network (ANN) approach. ANNs are used to day-ahead prediction of non-spinning reserve (NS), regulation-up (RU), and regulation down (RD). Spinning reserve (SR) is mentioned as past work for comparative analysis. A case study based on California ISO (CAISO) data is included; the forecasted results are presented and compared with CAISO published forecast.

Ancillary services market clearing simulation: a comparison between deterministic and heuristic methods

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tool must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case based on California Independent System Operator (CAISO) data concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.

Ancillary services dispatch using linear programming and genetic algorithm approaches

Electricity market players operating in a liberalized environment requires access to an adequate decision support tool, allowing them to consider all the business opportunities and take strategic decisions. Ancillary services represent a good negotiation opportunity that must be considered by market players. For this, decision support tools must include ancillary market simulation. This paper proposes two different methods (Linear Programming and Genetic Algorithm approaches) for ancillary services dispatch. The methodologies are implemented in MASCEM, a multi-agent based electricity market simulator. A test case concerning the dispatch of Regulation Down, Regulation Up, Spinning Reserve and Non-Spinning Reserve services is included in this paper.