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On the structure of double-coordinator constructions
No full textThe paper presents novel Macedonian and Slovenian data with conjunction doubling that exhibit unexpected binding behaviour as each individual conjunct binds an anaphor in the object position individually. The paper shows the extent of the phenomena in Macedonian and Slovenian and discusses several possible analyses. The paper argues these data also cannot be simply explained away and proposes a silent quantifier in the structure of coordination, which further means the surprising binding is really just an instance of variable binding
On differences between hyperbaton and inversion
No full textВ стилистике всё чаще пишут о гипербате и инверсии как о взаимозаменяемых понятиях. Однако это структурно и психолингвистически разные явления. Инверсия связана с передвижениями, гипербат — с передвижениями и эллипсисом. Это разные операции, что создаёт структурное различие. Психолингвистические различия определяются сложностью для восприятия.In stylistics, it is being written about hyperbaton and inversion as interchangeable concepts. However, these are structurally and psycholinguistically different phenomena. Inversion is associated with movement, hyperbaton with movement and ellipsis. It creates a structural difference. Psycholinguistic differences are due to the complexity for perception
Dynamic analysis of a generalized attention deficit disorder model with Soboleva activation functions
No full textThis work studies a modified chaotic neural network model consisting of two neurons for modeling attention deficit disorder. Considering an existing one-dimensional model from the literature, its two activation functions are replaced by the Soboleva hyperbolic tangent function. This change introduces four new control parameters to the system. The effect of these parameters on the system is extensively studied through a collection of phase, bifurcation, and Lyapunov exponent diagrams. Changing each of these parameters brings changes to the model’s behavior, so the modified model is a significant generalization of the original one. Many phenomena are observed, including period doubling route to chaos, period halving route to period-1, crisis, antimonotonicity, coexisting attractors, and shrimps. The newly introduced degrees of freedom could provide a new direction toward modeling behavioral disorders using different activation functions
A transformation of mappings preserving the property of robust chaos
No full textRobust chaos is a phenomenon characterized by the continuous occurrence of chaos for the variability of control parameters. Therefore, chaotic systems with this property are highly desirable in various applications, e.g. chaos-based cryptography. One of the properties that allows the construction of maps with robust chaos is the S-unimodality property. This paper presents a new method to transform an S-unimodal map to its skew form while preserving the S-unimodal property. Thus, a new family of skew maps is defined with a new parameter q in (0,1), which allows the generation of robust chaos for any value of the parameter q. In addition to the theoretical results concerning this transformation, a number of examples of new families of chaotic maps are presented using known classical chaotic systems, such as the logistic map or the sine map. The application of skew maps in chaotic cryptography is also discussed in this paper
Identification of Greek Orthodox Church chants using fuzzy entropy
No full textIn this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency domain is computed. We introduce a novel audio fingerprinting framework by comparing the variations in the resulting fuzzy entropy vector for the dataset. For this purpose, we use the correlation coefficient as a measure and dynamic time warping. Thus, it is possible to match the performances of the same chant with high probability. The proposed methodology provides a foundation for building an audio fingerprinting method based on fuzzy entropy
Vsak ima svoj treš in svoj krindž
No full textMartin Justin je opravil intervju s Primožem Mlačnikom:
https://www.ludliteratura.si/intervju/vsak-ima-svoj-tres-in-svoj-krindz/
Prosim, da se ne objavi predstavitvene datoteke, samo besedilo na povezavi
DESIGN OF DECISION SUPPORT SYSTEM FOR EXPERIMENT DESIGN OF AIRPLANE FUSELAGE COMPOSITE FRAME
No full textTo magistrsko delo prispeva k novemu sistemu za podporo pri odločanju za
načrtovanje eksperimentov s kompozitnimi okvirji. Kompozitni okvir, ki ga
obravnavamo v tej nalogi, je del letala, na katerega se pritrjuje nosilec motorja. Cilj tega sistema je olajšati odločanje inženirjem, izboljšati proces testiranja kompozitnih okvirjev in vzporedno zmanjšati tveganja v procesu načrtovanja. Pristop je enostaven, vendar multidisciplinaren, v ozadju pa uporabljamo sofisticirana orodja za sestavljanje algoritma za načrtovanje eksperimentov. Izbira načrta eksperimentov, ki izpolnjuje ključne zahteve razvijalcev, zahteva presojanje in primerjanje ključnih kriterijev. Zato smo razvili sistem za podporo pri odločanju, ki integrira numerične simulacije, strojno učenje in načrtovanje eksperimentov ter pomaga razvijalcem pri izbiri najbolj ustreznega eksperimentalnega načrta. Ta sistem omogoča zanesljivo, hitrejše in bolj informirano odločanje v primerjavi z obstoječo ročno metodo analize. V prvem koraku pojasnjujemo postopek priprave in analize pridobljenih podatkov ter izpostavljamo model strojnega učenja, ki modelira odziv sistema, ustvarjen z metodami strojnega učenja. Upravičenost modela potrjujemo z metrikami za merjenje uspešnosti in potem nadaljujemo s fazo načrtovanja eksperimentov. Zaključna faza predstavlja zasnovo sistema za podporo pri odločanju z uporabo programske opreme DEXiWin za izbiro najbolj ustreznega eksperimentalnega načrta s pomočjo večkriterijskega modela. S predstavljenim pristopom izboljšujemo proces načrtovanja eksperimentov kompozitnega okvirja v podjetju in ustvarjamo zasnovo za njegovo nadaljnjo nadgradnjo in izboljšanje. Z uvedbo večkriterijske presoje, grafičnimi predstavitvami in oceno vpliva ključnih parametrov je postopek bistveno olajšan, avtomatiziran, povečana je zanesljivost in zmanjšano tveganje za napake v procesu.This thesis contributes to a new decision support system for design of experiments of
composite frames. The composite frame, considered in this task, is a part of an aircraft
used for attaching the engine mount. The goal of this system is to facilitate decision making for engineers, improve the testing process of composite frames, and
simultaneously reduce risks in the design process. Therefore, the approach is simple
although multidisciplinary, where sophisticated tools are used in the background to
build an algorithm for the design of experiments. Selecting an experiment design that
meets the key developer requirements requires judgment and comparison of key
criteria. Therefore, we develop a decision support system that integrates numerical
simulations, machine learning, and design of experiments and helps developers select
the most appropriate experimental design considering key decision-making
parameters. This system enables reliable, faster, and more informed decision-making
compared to the existing manual analysis method. In the first step, we explain the
preparation and analysis process of the obtained data and present machine learning
model that define the system response created by machine learning methods. The
model validity is confirmed by metrics for measuring performance followed by the
experimental design phase. The final phase includes design of a decision support
system using DEXiWin software to select the most appropriate experimental design
using a multi-criteria model. With the presented approach, we improve the process of
designing composite frame experiments in the company and create a foundation for its
upgrade and improvement. Introduction of multi-criteria assessment, graphic layout
and impact assessment of key parameters, the process is significantly facilitated,
automated, reliability is increased, and the risk of errors in the process is reduced
Dynamic life cycle assessment of Slovenian electricity generation
No full textMagistrska naloga preučuje okoljske vplive proizvedene električne energije v Sloveniji z uporabo dinamičnega pristopa ocene življenjskega cikla (LCA). Za razliko od klasičnih študij, ki temeljijo na letnih povprečjih, ta raziskava vključuje podatke z urnim časovnim korakom za obdobje 2021–2023, da bi zajela časovne razlike v okoljskih vplivih, kar je posebej pomembno zaradi vse večje integracije vremensko odvisnih obnovljivih virov energije (OVE). Študija uporablja tako proizvodni kot porabniški pristop za oceno slovenskega električnega miksa z uporabo metode ReCiPe Midpoint (H) 2016 in Environmental Footprint 3.1, ki razkriva pomembne sezonske in dnevne razlike v okoljskih vplivih. Ključne ugotovitve kažejo povprečni koeficient variacije (CV) v višini 26% za proizvodni pristop in 20% za porabniški pristop, kar nakazuje, da ima lahko uvožena električna energija nižje okoljske vplive kot doma proizvedena energija. Analiza osmih slovenskih dobaviteljev električne energije kaže, da imajo tisti z večjim deležem obnovljivih in jedrskih virov energije na splošno nižje okoljske vplive v večini kategorij. Raziskava ponuja ključne vpoglede za odločevalce, ki si prizadevajo za večjo trajnost električnega omrežja, ter prikazuje kompromise med različnimi kategorijami okolijskih vplivov, kjer pa zlasti ugotavlja, da povečanje OVE zmanjša emisije toplogrednih plinov, lahko pa poveča vplive v kategorijah, kot je pomanjkanje mineralnih virov