FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING

A fielded machine learning system for vocational counselling is presented in which learning is based on adjustments of weights on links in a network. The system exemplifies how a specific representation, consisting of weights assigned to associations between keywords, enables the effective use of machine learning algorithms for acquiring and continually refining domain knowledge. The representation is designed for coping with the types of knowledge that can be found in weak theory domains, that is, knowledge too difficult to formalize because it is incomplete or vague. Knowledge acquisition and knowledge refinement processes are automated in order to efficiently decrease the effect of unreliable knowledge caused by unknown or unspecified biases inherent in the knowledge sources. The knowledge acquisition algorithms presented here are capable of coping with incomplete and vaguely defined domain knowledge. The knowledge refinement algorithms are used on-line to enable a continuous refinement of ill-defined domain knowledge.     

The effect of coagulant type on yield and sensory properties of semihard cheese from laboratory‐, pilot‐ and commercial‐scale productions

Using calf rennet or a commercial microbial rennet substitute derived from Rhizomucor miehei cheesemaking experiments were performed at laboratory and pilot scale, and at commercial scale in two industrial dairy plants during regular production. At all levels of scale, the solids transfer from milk to curd was significantly higher (0.50–1.19%) when using calf rennet. There were significant differences in levels of proteolysis during maturation and in levels of bitterness at 12 weeks of ripening between Gouda cheeses produced with calf rennet or with commercial rennet substitute at pilot and at commercial scale.     

Structural and electrical properties of composite metal/hard carbon films prepared from metalorganics†

Composite metal/hard carbon films have been prepared by using metalorganic working gas mixtures in a radiofrequency driven plasma enhanced process. The film structure as observed by transmission electron microscopy and electron diffraction before and after heat treatment is described. Electrical conductivity versus temperature data are shown for one type of film.     

Four years of ocean colour remote sensing with MOS-IRS

The imaging spectrometer MOS on IRS-P3 was launched in March 1996 as the first example of a new generation of ocean colour sensors. It consists of three different spectrometers in the visible/near-infrared spectral region with 18 channels. The IRS-P3 mission is focused on the remote sensing of case 2 water, particularly the derivation of different water constituents in coastal waters. Due to the more complex spectral behaviour of case 2 water, a new methodological approach was developed which works directly with satellite measured top-of-atmosphere radiance and accounts for the correlation of the different water constituents as well as for the spectral shape.

This paper gives an overview of the mission, the scientific goals and the development and improvement of the retrieval algorithms. The potential of the algorithm is demonstrated and examples of selected European coasts are shown. Derived maps of water constituents are presented.