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Feature extraction from CAD model for milling strategy prediction
Jože Balič, Simon Klančnik, Simon Brezovnik, 2008, original scientific article

Abstract: In this paper we present a procedure of feature determination from a CAD model. From the model we extract information, which has the greatest influence on the technological parameters of treatment and then transform this information into appropriate input data for different intelligent processing strategy prediction systems (for example artificial neural network). With formally complex CAD models, different processing strategies are required on a single workpiece. For this reason we use segmentation as described in this paper, to partition the surface of the CAD model into regions, so that we treat each region as an independent model and determine its features.
Keywords: CAD-CAM systems, milling strategies, feature extraction, CAD models, segmentation
Published: 31.05.2012; Views: 1218; Downloads: 22
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Multimedia learning material in pedagogical methodology and problem solving strategies
Tomaž Bratina, 2012, independent scientific component part or a chapter in a monograph

Abstract: Problem solving is a reasoning process oriented to reach the final state which usually means the solution. To reach the final state certain mental steps are required. More precisely the process of problem solving can be described as the systematic sequence of cognitive steps toward the solution or conclusion. The sequence itself is the strategy. Regarding the kind of the problems or its nature diverse problem solving strategies can be applied. In the present literature the problem solving strategies are described as reasoning strategies. The application of multimedia learning materials and good practices are confirming their benefits. The students using multimedia learning materials achieved better results than students learning from the textbook and/or attended regular lectures. They are also more successful in the application of the reasoning strategies. In the teaching of pedagogical methodology the application of reasoning strategies is important in achieving higher level of understanding and successful implementation of statistical outcomes in the education. The article will present the results of research in assessing the influence of the multimedia learning materials to the application of reasoning strategies.
Keywords: e-learning materials, problem solving, reasoning strategies, pedagogical methodology, statistics
Published: 07.06.2012; Views: 846; Downloads: 17
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A methodology for improving strategic decisions in social systems with a lack of information
Carlos A. Legna Verna, Andrej Škraba, 2010, original scientific article

Abstract: The design of strategies for social systems requires the use of qualitative information owing to the fact that quantitative information can be insufficient to solve the problems involved. The information that the specialists and the decision makers obtain is often incomplete and unreliable. Nevertheless, leaders have to make strategic decisions despite these deficiencies which should be based on the formal models (Kljajić et al. 2000; Škraba et al, 2003; Škraba et al 2007). This paper describes a methodology elaborated to design the strategy of the city of Santa Cruz (on the Canary Islands). It has two main sections: the elaboration of a qualitative model and the use of System Dynamics. We combine them in a way that allows mixing qualitative and quantitative information to achieve a better understanding of the structure of the region, to know the tendencies of the present scenario and to estimate of the effects of alternative strategic decisions. We have obtained these results working with scarce quantitative information. This methodology may be applied to any social systems with similar characteristics.
Keywords: qualitative models, system dynamics, social strategies
Published: 10.07.2015; Views: 344; Downloads: 152
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Coevolution of quantum and classical strategies on evolving random networks
Qiang Li, Azhar Iqbal, Matjaž Perc, Minyou Chen, Derek Abbott, 2013, original scientific article

Abstract: We study the coevolution of quantum and classical strategies on weighted and directed random networks in the realm of the prisoners dilemma game. During the evolution, agents can break and rewire their links with the aim of maximizing payoffs, and they can also adjust the weights to indicate preferences, either positive or negative, towards their neighbors. The network structure itself is thus also subject to evolution. Importantly, the directionality of links does not affect the accumulation of payoffs nor the strategy transfers, but serves only to designate the owner of each particular link and with it the right to adjust the link as needed. We show that quantum strategies outperform classical strategies, and that the critical temptation to defect at which cooperative behavior can be maintained rises, if the network structure is updated frequently. Punishing neighbors by reducing the weights of their links also plays an important role in maintaining cooperation under adverse conditions. We find that the self-organization of the initially random network structure, driven by the evolutionary competition between quantum and classical strategies, leads to the spontaneous emergence of small average path length and a large clustering coefficient.
Keywords: evolutionary games, quantum strategies, coevolution, random networks, cooperation
Published: 19.06.2017; Views: 322; Downloads: 165
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Tjaša Pegan, 2016, undergraduate thesis

Abstract: The practical action research study in this diploma thesis, Meditation in the English Language Classroom, was performed as a mini-experiment which was initially set up to explore meditation and assess its potential and use in education. Regarding English as a foreign language, language learning combined visual and auditory information, and it was based on visual and verbal memory. One of the objectives in the theoretical part was to find a ‘universal formula’ which could help bring meditation closer to a classroom setting. Among available techniques, we chose mindfulness meditation for its simplicity. In addition to having this exercise included in the lesson, the participants received the element of visualisation, which is often found in meditation traditions. Guided visualisation or the so called guided mental imagery was presented as a vocabulary learning strategy in the form of multisensory interactive story including multiple intelligences and mindfulness aspects – the pupils had to pay attention to what the teacher was saying. They were supposed to self-generate the pictures in their minds to repeat new vocabulary items or simply listen to the story with their eyes closed. The main purpose of using mindfulness was to create a more harmonious classroom atmosphere and better concentration by helping the participants become more centred by directing their attention inwardly. The main purpose of using visualisation was to remember words by giving them a mental image. We presented lesson plans from the study performed by two volunteering teachers. In total, 8 classes with 114 pupils were included in this mini research. Results are not so clear-cut and promising, mainly due to limitations. Teachers need more training, better school organisation and curriculum for the practices to be seriously implemented in education.
Keywords: meditation, mindfulness, contemplative secular education, humanistic approach to English language teaching and learning, vocabulary learning strategies, visualisation/mental imagery
Published: 21.10.2016; Views: 983; Downloads: 99
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Resolution of the stochastic strategy spatial prisoner's dilemma by means of particle swarm optimization
Jianlei Zhang, Chunyan Zhang, Tianguang Chu, Matjaž Perc, 2011, original scientific article

Abstract: We study the evolution of cooperation among selfish individuals in the stochastic strategy spatial prisoner's dilemma game. We equip players with the particle swarm optimization technique, and find that it may lead to highly cooperative states even if the temptations to defect are strong. The concept of particle swarm optimization was originally introduced within a simple model of social dynamics that can describe the formation of a swarm, i.e., analogous to a swarm of bees searching for a food source. Essentially, particle swarm optimization foresees changes in the velocity profile of each player, such that the best locations are targeted and eventually occupied. In our case, each player keeps track of the highest payoff attained within a local topological neighborhood and its individual highest payoff. Thus, players make use of their own memory that keeps score of the most profitable strategy in previous actions, as well as use of the knowledge gained by the swarm as a whole, to find the best available strategy for themselves and the society. Following extensive simulations of this setup, we find a significant increase in the level of cooperation for a wide range of parameters, and also a full resolution of the prisoner's dilemma. We also demonstrate extreme efficiency of the optimization algorithm when dealing with environments that strongly favor the proliferation of defection, which in turn suggests that swarming could be an important phenomenon by means of which cooperation can be sustained even under highly unfavorable conditions. We thus present an alternative way of understanding the evolution of cooperative behavior and its ubiquitous presence in nature, and we hope that this study will be inspirational for future efforts aimed in this direction.
Keywords: cooperation, prisoner's dilemma, particle swarm optimization, stochastic strategies
Published: 19.06.2017; Views: 381; Downloads: 177
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Effects of adaptive degrees of trust on coevolution of quantum strategies on scale-free networks
Qiang Li, Minyou Chen, Matjaž Perc, Azhar Iqbal, Derek Abbott, 2013, original scientific article

Abstract: We study the impact of adaptive degrees of trust on the evolution of cooperation in the quantum prisoner's dilemma game. In addition to the strategies, links between players are also subject to evolution. Starting with a scale-free interaction network, players adjust trust towards their neighbors based on received payoffs. The latter governs the strategy adoption process, while trust governs the rewiring of links. As soon as the degree of trust towards a neighbor drops to zero, the link is rewired to another randomly chosen player within the network. We find that for small temptations to defect cooperators always dominate, while for intermediate and strong temptations a single quantum strategy is able to outperform all other strategies. In general, reciprocal trust remains within close relationships and favors the dominance of a single strategy. Due to coevolution, the power-law degree distributions transform to Poisson distributions.
Keywords: evolutionary games, quantum strategies, coevolution, random networks, cooperation, statistical physics of social systems
Published: 23.06.2017; Views: 213; Downloads: 163
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Names in literary translation
Darja Mazi Leskovar, 2017, original scientific article

Abstract: This article presents three English translations of the Slovenian tale Martin Krpan z Vrha (1858) by Fran Levstik and focuses on the translation of personal and geographical names with the aim of examining the application of domestication and foreignization translation strategies. The comparative analysis of the English names aims to find out if the cultural gap between the source and the target cultures has been diminishing over the years. The study also highlights the role of the chronotope that gives the work, one of the most frequently translated Slovenian texts, a distinctive cultural character.
Keywords: English translations of Martin Krpan, comparative analysis of translated name, domestication and foreignization strategies, chronotope, Slovene literature, literary translation
Published: 30.11.2017; Views: 293; Downloads: 45
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Interplay between art and science in education
Samo Kralj, Boris Aberšek, Irena Kralj, 2014, original scientific article

Abstract: Music can be viewed as a structure formed by notes. Different structures in music have potential to yield enormously rich diversity of different melodies. Music is a typical example where a structure defines a property. Similar concepts could be also exploited in education, in presented case in nano-sciences, which are typical representatives of soft materials the structure of which can be strongly manipulated with local geometry and presence of appropriate nanoparticles. The objects of study, named also LC shells, will be exploited as basic unit elements for future soft colloidal crystals. A different arrangement of colloids within the crystal would result in different physical properties in a similar way as different packing of atoms results in different crystals made of real atoms. In presented research will be demonstrated, how relevant basic mechanisms in thin films of nematic liquid crystals could be explained in a classroom and used as a case study, also for explanation of many other physical properties. This research topic is still in its infancy. At this stage only various defect structures in relatively simple geometries (spherical and elliptical) will be analyzed. There is a need to find simple ways to control sensitively the valence of LC shells and in particular to develop strategies to assemble them in crystal structures of desired symmetry. This would allow tailoring specific optical dispersion relations or other physical property of interest and make new ways to teach different physical properties on the "music" based approach.
Keywords: teaching strategies, music education, nanosciences, topological defects
Published: 15.12.2017; Views: 300; Downloads: 28
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Problems environmental education connected with technic and technology
Amand Papotnik, 2009, original scientific article

Abstract: By planning and selecting the contents of subject technology we must take into account also the contents from environmental education. Combining the different contents are compose from the process of planning, analyzing and/or evaluating achieved result. In the frame of the selected educational strategy (for example Project task) the students must acquire and strengthen the theoretical and practical knowledge, develop skills and working habits. Only if we take into account this, they will be able to transfer this theoretical and practical technological knowledge to solve the ecological problems. This is the teaching and learning in the narrow sense, which we can classified as acquiring new, knowledge, tasks and skills necessary for solving the problems. Learning in the wide sense means preserving knowledge and recalling it back, the knowledge that is connected with technical, technological, organizational and ecological problems.
Keywords: education, technics and technology, ecology, environmental education, ICT, learning strategies
Published: 19.12.2017; Views: 325; Downloads: 43
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