1. Science, human awareness and environmental attitudesBoris Aberšek, 2022, other scientific articles Abstract: The environment is a system, a complex system, which we are unable to comprehend, let alone truly understand, with the help of simplified models that we, humans, are able to process. Our human understanding of the complexity of a grain of sand simply isn’t enough to construe and adapt the universe! This would require time and knowledge, which we do not have today, and which we will not have for a long time. So, everything is in interpretation. Let us start our stories with some basic truths. The main premise is, that man doesn't need an outside enemy, he's the greatest threat to himself. But he's not just a threat to himself, he's a threat also to everything around him. No living thing on earth destroys it more than it takes for its existence, except for human.
Keywords: complex systems, human awareness, environmental attitudes, energy production
Published in DKUM: 08.08.2023; Views: 450; Downloads: 36
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2. Yield performance and agronomic efficiency in oil pumpkins (Cucurbita pepo L. group Pepo) depending on production systems and varietiesManfred Jakop, Silva Grobelnik Mlakar, Martina Bavec, Martina Robačer, Tjaša Vukmanič, Urška Lisec, Franc Bavec, 2017, original scientific article Abstract: In 2013 and 2014, a long-term trial (which was established in 2007) was conducted at the University Agricultural Centre in Pivola near Hoče. It included different production systems (conventional, integrated, organic, biodynamic), carried out in a field trial with oil pumpkins. The aim of the research was to analyse the effects of different production systems, varieties (hybrid and population variety) and years of production, on formation of oil pumpkin yields. The agricultural practice has been carried out in accordance with the applicable legislations and standards for the individual production system. When sowing, before fertilizing with nitrogen in early June and after the harvest, the amount of soil mineral nitrogen was monitored. We evaluated the number and weight of harvestable, unripe and decayed fruits, and yield of oil seed pumpkins and calculated the agronomic efficiency of the applied nutrients. The results showed that the year of production, the production system and the variety have a significant effect on some fruit characteristics and the yield of oil pumpkin seeds. The content of soil mineral nitrogen in May and September was significantly influenced by the production system and the year. In June, only the production system had a significant effect. The hybrid significantly increased the yields of oil pumpkin seeds in all production systems, even in the year that was less suitable for production. The agronomic efficiency of the applied nutrients in the biodynamic and organic production system is higher or equal than in the conventional production system, similarly, agronomic efficiency is higher in the hybrid compared to the oldest population variety efficiently. A comparable oil pumpkin yield can be expected in biodynamic and organic production, when proper nutrition and well carried out cultivation practices are combined with a new variety, when compared to less sustainable production systems, which often cause damage to the environment.
Keywords: production systems, variety, oil pumkins, mineral nitrogen, agronomic efficiency, yield
Published in DKUM: 10.10.2018; Views: 2139; Downloads: 373
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3. Relational database as a cogitative part of an intelligent manufacturing systemIgor Drstvenšek, Mirko Ficko, Jože Balič, 2004, original scientific article Abstract: An intelligent manufacturing system is intended to produce one or more subjects that it is designed for in an optimal way. This means that it has to find a proper production process to produce the subject in an optimal way. The manufacturing system can be called "intelligent" when it is able to find applicable optimisation criteria upon its past experiences thus improving its performance in future. Therefore, an intelligent manufacturing system needs capabilities to store data and make decisions upon them. Such a "brain" can be established by a proper design of a technological database and its database management system (DBMS). Examining all constitutive parameters of a work operation a model of a production process organization can be made, which can serve as a basis for a suitable database design. In addition, an application programme that will check the existence and availability of work operations in the database has to be added to the DBMS. What remains are some optimisation criteria upon which we will choose an operation among suitable and available work operations. This task is fulfilled by a genetic algorithm optimisation technique that would consider work operations' data as parameters of optimisation and on this basis search the optimal one out of the set of available operation.
Keywords: production processes, optimisation, relational database, database management systems, production automation, manufacturing system
Published in DKUM: 01.06.2012; Views: 2034; Downloads: 131
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4. A model of data flow in lower CIM levelsIgor Drstvenšek, Ivo Pahole, Jože Balič, 2004, original scientific article Abstract: After years of work in fields of computer-integrated manufacturing (CIM), flexible manufacturing systems (FMS), and evolutionary optimisation techniques, several models of production automation were developed in our laboratories. The last model pools the discoveries that proved their effectiveness in the past models. It is based on the idea of five levels CIM hierarchy where the technological database (TDB) represents a backbone of the system. Further on the idea of work operation determination by an analyse of the production system is taken out of a model for FMS control system, and finally the approach to the optimisation of production is supported by the results of evolutionary based techniques such as genetic algorithms and genetic programming.
Keywords: computer integrated manufacturing, flexible manufacturing systems, evolutionary optimisation techniques, production automation, CIM hierarchy, technological databases, production optimisation, genetic algorithms, genetic programming
Published in DKUM: 01.06.2012; Views: 2248; Downloads: 104
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