Rule-based information extraction is an important approach for processing the increasingly available amount of unstructured data. The manual creation of rule-based applications is a time-consuming and tedious task, which requires qualified knowledge engineers. The costs of this process can be reduced by providing a suitable rule language and extensive tooling support. This paper presents UIMA R...

Supercritical fluids are increasingly being used and promoted at a laboratory and pilot scale to produce high value, natural bioactives from biologically based raw materials. Supercritical CO2 is overwhelmingly the solvent of choice for these operations, but is largely limited to the processing of dry raw materials and the extraction of low polarity, low molecular weight compounds. The use of c...

the main design objective of axial compressor is the efficiency increasing, pressure ratio and weight loss. these three parameters are used as an objective function and they are computed according to adopted design procedures. in this paper, a design method is presented that named quasi-three-dimensional. physical flow conditions are applied to design by some constraints to avoid irrational res...

In this paper, we present a novel method for learning complex concepts/hypotheses directly from raw training data. The task addressed here concerns data-driven synthesis of recognition procedures for real-world object recognition task. The method uses linear genetic programming to encode potential solutions expressed in terms of elementary operations, and handles the complexity of the learning ...

the effect of different juice extraction treatments on the qualitative properties of lime juice was investigated. samples were selected from jahromi lime variety and lime juice extracted by means of a screw type juice extraction device. the mechanical parameters of the helical juice extractor [screw velocity (270, 360 and 450 rpm), outlet pressure (minimum, medium vs. maximum)] and lime pretrea...