Drawing on an empirical study on automakers? management of supplier
involvement in product development in Japan, this paper shows that when the design of
a component is outsourced to a supplier, how much and what automakers know about
the component…

Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In…

Abstract Knowledge of the population fluctuation and spatial distribution of pests is fundamental for establishing an appropriate control method. The population fluctuation and spatial distribution of the Alphitobius diaperinus in a poultry house in Cascavel, in the state of Parana,…

The Operational Security Network Code will provide the basis on European Union level for the power system to function with a satisfactory level of security and quality of supply, as well as efficient utilization of infrastructure and resources. It requires…

La thérapie génique, qui consiste à modifier le génome d'un individu, est la progression logique de l'application de la recherche fondamentale à la médecine. Au moment où l'on célèbre le décryptage du génome humain, surgissent les premières guérisons par la…

Short survey carried out at the beginning of the course in order to elicit information about the students' background, future prospects and knowledge of ICT.

The ability to store, capture, and disseminate knowledge within and across pharmaceutical organizational boundaries has challenged manager for many years. However, as product lifecycles have decreased and environmental complexity and volatility have increase, the need tom manage knowledge is intensifying,…

Competing claims about the level of ignorance, or knowledge, among the current Nexus generation are addressed. The core of the paper is a theoretical analysis of ignorance in the knowledge society. Specifically, the knowledge-ignorance paradox suggests that the intense specialization…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…