Purpose: The aim of the publication was to visualize the process of creating knowledge on the example of the CP Factory production line. For this purpose, the data contained in the relational databases and data of the operating production line were used. This data was converted to the form required by the CogniPy environment to create a semantic ontology for product personalization. Design/methodology/approach: With the available software based on ontologies and knowledge charts, the possibility of common human-computer reasoning has been opened, especially in production management. Findings: During the activities carried out, the on-conceptualization of the knowledge contained in the production management system was brought to an ontological form. At the moment, the information contained in the database is not very different from the data existing in the relational database. However, further modeling of ontology can be directed towards the creation of rules, logic and axioms of production processes. Practical implications: The operations and transformations performed presented the operation of CogniPy in the process of creating ontology and materializing the graph and queries. The created ontology takes the form of a universal set of knowledge that makes it open to wide integration with other systems. Originality/value: The publication shows the possibilities of using the CogniPy environment in the construction of ontology and semantic product personalization.
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The presented paper focuses on a numerical analysis of temperature in the anatomical model of the female breast with a strictly defined level of power generated by the EMF source in pathological tissue saturated with ferrofluid. The aim of this study was to examine the effect of blood perfusion rate models on the resultant tumor temperature. The four tumor perfusion models were subjected to comparative analysis: constant, linear, nonlinear and completely free of blood flow. The authors have shown that taking into account the various temperature dependences of blood perfusion models within the treated tissue might play an important role in the complex process of female breast cancer treatment planning.
PL
Przedstawiona praca skupia się na numerycznej analizie temperatury w anatomicznym modelu gruczołu piersiowego kobiety o ściśle określonym poziomie mocy generowanej przez źródło PEM w patologicznej tkance nasyconej ferrofluidem. Celem tej pracy było zbadanie wpływu perfuzji krwi na wypadkową temperaturę guza. Analizie porównawczej poddano cztery modele perfuzji w guzie: stały, liniowy, nieliniowy oraz model całkowicie pozbawiony przepływu krwi. Autorzy pracy wykazali, że uwzględnienie różnych zależności temperaturowych dla modeli perfuzji krwi w leczonej tkance, może odgrywać istotną rolę w złożonym procesie planowania leczenia nowotworów piersi.
The article presents a statistical analysis of daily kilometrages of vehicles operated by a selected transport company in the period of three consecutive years (2013-2015). Company vehicles have been divided into four categories depending on gross vehicle mass and the type of their intended transport use. Statistical analyses of daily vehicle kilometrages showed statistically significant differences in daily kilometrage across different vehicle categories and in various months throughout the year.
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