1. Estimating piping potential in earth dams and levees using generalized neural networksXinhua Xue, Xingguo Yang, Xin Chen, 2014, izvirni znanstveni članek Opis: Internal erosion and piping in embankments and their foundations is the main cause of failures and accidents to embankment dams. To estimate the risks of dam failure phenomenon, it is necessary to understand this phenomenon and to develop scientifically derived analytical models that are simpler, easier to implement, and more accurate than traditional methods for evaluation of piping potential. In this study, a generalized regression neural network (GRNN) technique has been applied for the assessment of piping potential, as well, due to its ability to fit complex nonlinear models. The performance of GRNN has been cross validated using the k-fold cross validation method technique. The GRNN model is found to have very good predictive ability and is expected to be very reliable for evaluation of piping potential.
Ključne besede: piping, generalized neural network, cross validation, BP neural network
Objavljeno v DKUM: 14.06.2018; Ogledov: 831; Prenosov: 59
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2. An analysis of interaction effects of China–South Korea and China–Australia FTAs and the expanding TPPSun Yuhong, Mu Yifei, Jun Yang, 2016, izvirni znanstveni članek Opis: On 5 October 2015, the Trans-Pacific Partnership Agreement (TPP) led by the U.S. was signed. Already, 12 countries1 have joined the agreement, but China has not. Thus, lots of research has focused on the negative effect of the TPP on China’s foreign trade. On the other hand, China is moving forward in its own efforts to establish bilateral free trade agreements (FTAs) and free trade zones. In June 2015, China-South Korea and China-Australia signed bilateral FTAs which went into effect in December 2015. Several questions were raised: Since South Korea and Australia are the major trade partners in the Pacific area and the bilateral FTAs will be effective before the TPP, will these FTAs’ positive effects on China’s foreign trade offset some of the negative effects of the TPP? If China and the U.S. adopted a competitive trade policy, which countries would benefit? If China and the U.S. adopted a cooperative trade policy, how would the trade value and economic welfare change? This paper simulates and analyses the mutual effects of China-South Korea and China-Australia FTAs and the enlarging TPP using the computable general equilibrium model. The major conclusions drawn suggest that China-South Korea and China-Australia FTAs will significantly offset the TPP’s negative effect on China’s foreign trade. If China is not included, the U.S. economic benefit from the TPP will be limited. The economic welfare for a country like Australia, which joined both the bilateral FTA and the TPP, will be increased the most. In the long run, China joining the TPP would be the most beneficial decision for its national interest. However, if the TPP cannot be approved by the US congress, the U.S.’s economic indicators and export would be decreasing sharply. China’s economy and export will benefit from FTAs.
Ključne besede: China-South Korea FTA, China-Australia FTA, TPP, interaction effects
Objavljeno v DKUM: 03.05.2018; Ogledov: 797; Prenosov: 276
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3. Regulation of irregular neuronal firing by autaptic transmissionDaqing Guo, Shengdun Wu, Mingming Chen, Matjaž Perc, Yangsong Zhang, Jingling Ma, Yan Cui, Peng Xu, Yang Xia, Dezhong Yao, 2016, izvirni znanstveni članek Opis: The importance of self-feedback autaptic transmission in modulating spike-time irregularity is still poorly understood. By using a biophysical model that incorporates autaptic coupling, we here show that self-innervation of neurons participates in the modulation of irregular neuronal firing, primarily by regulating the occurrence frequency of burst firing. In particular, we find that both excitatory and electrical autapses increase the occurrence of burst firing, thus reducing neuronal firing regularity. In contrast, inhibitory autapses suppress burst firing and therefore tend to improve the regularity of neuronal firing. Importantly, we show that these findings are independent of the firing properties of individual neurons, and as such can be observed for neurons operating in different modes. Our results provide an insightful mechanistic understanding of how different types of autapses shape irregular firing at the single-neuron level, and they highlight the functional importance of autaptic self-innervation in taming and modulating neurodynamics.
Ključne besede: neuronal dynamics, autapse, regulation, excitation
Objavljeno v DKUM: 23.06.2017; Ogledov: 933; Prenosov: 378
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4. Towards the novel reasoning among particles in PSO by the use of RDF and SPARQLIztok Fister, Xin-She Yang, Karin Ljubič Fister, Dušan Fister, Janez Brest, Iztok Fister, 2014, izvirni znanstveni članek Opis: The significant development of the Internet has posed some new challenges and many new programming tools have been developed to address such challenges. Today, semantic web is a modern paradigm for representing and accessing knowledge data on the Internet. This paper tries to use the semantic tools such as resource definition framework (RDF) and RDF query language (SPARQL) for the optimization purpose. These tools are combined with particle swarm optimization (PSO) and the selection of the best solutions depends on its fitness. Instead of the local best solution, a neighborhood of solutions for each particle can be defined and used for the calculation of the new position, based on the key ideas from semantic web domain. The preliminary results by optimizing ten benchmark functions showed the promising results and thus this method should be investigated further.
Ključne besede: resource definition framework, SPARQL, best solutions, RDF, PSO
Objavljeno v DKUM: 15.06.2017; Ogledov: 1030; Prenosov: 405
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8. A COMPREHENSIVE REVIEW OF BAT ALGORITHMS AND THEIR HYBRIDIZATIONIztok Fister, 2013, magistrsko delo Opis: Swarm intelligence is a modern and efficient mechanism for solving hard problems in computer science, engineering, mathematics, economics, medicine and optimization. Swarm
intelligence is the collective behavior of decentralized and self-organized systems. This research area is a branch of artificial intelligence and could be viewed as some kind of
family relationship with evolutionary computation because both communities share a lot of common characteristics. To date, a lot of swarm intelligence algorithms have been
developed and applied to several real-world problems. The main focus of this thesis is devoted to the bat algorithm which is a member of the swarm intelligence community, as
developed recently. In line with this, a comprehensive analysis of papers was performed tackling this algorithm. Some hybridizations of the original algorithm were proposed because the preliminary results of this algorithm regarding the optimization of benchmark functions with higher dimensions had not too promising. Extensive experiments showed that the hybridizing the original bat algorithm has beneficial effects on the results of the original bat algorithm. Finally, an experimental study was performed during which we researched for the dependence of an applied randomized method on the results of the original bat algorithm. The results of this study showed that selecting the randomized method had a crucial impact on the results of the original bat algorithm and that the bat algorithm using Levy flights is also suitable for solving the harder optimization problems.
Ključne besede: swarm intelligence, evolutionary computation, bat algorithm, hybridization, review
Objavljeno v DKUM: 06.09.2013; Ogledov: 3022; Prenosov: 306
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9. Exocytosis of insulin in vivo maturation of mouse endocrine pancreasAldo Rozzo, Tiziana Meneghel-Rozzo, Saška Lipovšek Delakorda, Shi-Bing Yang, Marjan Rupnik, 2009, objavljeni znanstveni prispevek na konferenci Opis: The aim of this study was to define when an insulin-positive cell becomes functional in vivo and starts to exocytose insulin in a regulated nutrient-dependent manner. Insulin-positive cells appear in embryonic life (midgestation) and complete their maturation, presumably around birth. In order to work with embryonic and newborn endocrine pancreas, we used organotypic slices. The mouse embryonic pancreas slices show high basal insulin release that is not further elevated by high glucose levels. Despite the presence of functional voltage-activated ion channels, the cells are not electrically active in the presence of secretagogues. At birth, the high basalinsulin release drops and, after postnatal day 2, the insulin-positive cells show both adult-like bursting electrical activity and hormone release induced by high glucose levels. These properties allowed us to define them as beta cells. Despite the apparent stability of the transcription factor profile reported in insulin-positive cells during late-embryonic life, functional beta cells appear only 2 days after birth.
Ključne besede: cell biology, insulin release, embrios, newborn, beta-cell maturation, developing pancreas
Objavljeno v DKUM: 07.06.2012; Ogledov: 1175; Prenosov: 25
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