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A new approach to the reconstruction of dielectric properties of unknown biological bodies is proposed, which is developed starting from an integral equation formulation of the electromagnetic inverse scattering problem. A Gibbs Random Field model is used to develop a stochastic approach based on the Bayes theorem. An iterative solution is obtained by the simulated annealing technique. The method integrates the important features of the spatial domain method with the possibility of taking into account a priori information on the scatterers under test. No large ill‐conditioned matrix inversions are required. A two‐dimensional formulation is considered, involving cylindrical scatterers illuminated by transverse magnetic‐wave incident fields. A multi‐illumination multiview reconstruction process is also performed. Some results on the reconstruction of strong scatterers are reported.

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The proteolysis of cheese whey with the aid of immobilized enzymes is an attractive alternative for this by-product of the dairy industry. Among some possible applications for whey protein hydrolysates, one may cite their use as protein source for individuals with reduced capacity of digestion, or with genetic metabolic disorders (phenylketonuria patients, for instance). The multipurpose plant that processes whey is named here as a cheese whey biorefinery. This work presents the remote control and monitoring of the whey biorefineries using the Internet. In an integrated environment, the web application also enables simulation and economic analyses of the process. This technology might allow small companies to access a remote "engineering centre", with know-how on plant design and advanced control techniques. The idea can also be extended to large dairy companies, providing the remote control of geographically spread sites of production.