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EN
Every year, droughts and floods cause significant damage to the economy and water resources of the UK. Numerous studies have been explored droughts and floods from various points of view, however few have pointed the variations in the patterns induced by climate change. The precipitation data of Central England in the UK was gathered from 1931 to 2020. The analysis was performed by application of fractal dimension, noise variance, Lyapunov exponent, approximate entropy, extreme climate indices, and Standard Precipitation Index. The cross-correlation results indicated the study area warming owing to CO2 emissions on a global and local scale, implicating the climate change in the study area. Moreover, the mean maximum and minimum temperatures were affected by CO2 emissions on global and local scales, respectively. The nonlinear dynamic analysis indicated that the duration and intensity of the dry and wet spells were increased due to climate change. In other words, the droughts’ intensity and duration were augmented. However, the number of annual droughts and wetness’s have remained unaffected by climate change. The results signified a weakening in the flash floods possibility and an increment in the flash floods severity owing to climate change. Moreover, climate change brought about an intensification in the rivers’ inundation (fluvial floods) probability. The findings of the present study contribute to the understanding of the mechanism of climate change impacts on droughts and floods (flash, pluvial, and fluvial) patterns and furnished references for nonlinear dynamic studies of droughts and floods patterns.
EN
Uniaxial compression acoustic emission (AE) tests were conducted on low-strength molybdenum ore (LSMO) to investigate its deformation and failure laws and AE characteristics. The stress-strain curve and AE parameter data of LSMOs were obtained by uniaxial compression AE test, and the relationships of stress, AE parameter, amplitude fractal dimension, and AE b value with loading time were analyzed accordingly to obtain the general law of their deformation and failure and a series of AE characteristics. The research shows that under the action of uniaxial stress, the failure mode of LSMOs mainly shows brittle failure, and the failure form mainly shows monoclinic shear failure. The stress-strain curve shows obvious plastic-elastic deformation, the plastic deformation time is long, and the division of each stage of deformation failure is not obvious. The simultaneous occurrence of large surges in ringing count and energy to higher orders of magnitude can be used as precursor information for failure destabilization of LSMOs. The evolution process of AE parameters of LSMO corresponds well with its deformation and failure process, and the variation pattern of ringing counts and energy shows a high consistency. With increasing stress, the amplitude correlation dimension and b value are mainly in the form of "falling-rising-falling-fluctuating". The results of the study can provide some theoretical basis for the assessment of the stability of the mine surrounding rock and the determination of a reasonable and effective reinforcement plan.
EN
Sediment bed surfaces exist widely in natural rivers, and many aspects in river dynamics are closely relevant to bed surface roughness, such as flow structure, river resistance and sediment transport. As two important parameters for quantifying bed surface roughness, how average particle size and non-uniformity affect bed surface structure is unknown. Therefore, nine groups of sediment samples with different average particle sizes or different non-uniformities were firstly prepared by screening dry natural sediments. Then, the prepared sediment samples were used to manually pave nine groups of bed surfaces, and the high-precise bed surface digital elevations were obtained by a handheld 3D laser scanner. Finally, the effects exerted by the average particle size and non-uniformity on the bed surface fractal properties were discussed. The results showed that there is only a scale-free range in a profile or a two-dimensional specific direction of a bed surface with normal-distributed particle gradation. The averaged scale-free upper limit in the two-dimensional specific directions and that related to many profiles are less affected by the non-uniformity, but more affected by the average particle size. For the bed surfaces with the same non-uniformity, when the average particle size is smaller than 15 mm, the larger the average particle size is, the smaller the fractal dimension is, but the larger the scale coefficient is; when the average particle size is larger than 15 mm, the larger the average particle size is, the larger the fractal dimension and the scale coefficient are, while for the bed surfaces with the same average particle size, the non-uniformity has no significant effects on the fractal dimension and the scale coefficient. The averaged scale coefficient in the two-dimensional specific directions of an isotropic bed surface and that related to many profiles are approximately equal, but the averaged fractal dimension in the two-dimensional specific directions is obviously larger than that plus 1 related to many profiles.
EN
Purpose: The purpose of the paper is to reveal potential differences in risk and profitability of investment in dividend and non-dividend stocks. Design/methodology/approach: The scientific aim of the paper is achieved by conducting a scrupulous literature analysis. Moreover, the authors use methods of comparative analysis to investigate the characteristics of dividend and non-dividend stocks and reveal similarities and differences. Study of fractal features of chosen stocks and comparisons between abovementioned groups of shares are conducted using the ANOVA methods. Findings: The results of the empirical analyses conducted in this paper prove that dividends paid by US dividend companies grow at significantly lower rate than dividends distributed by Polish dividend stocks. Additionally, rates of return on Polish dividend stocks are more heavily influenced by dividend pay-outs than rates of return on US ones. Taking into account riskiness of investments there are no differences in risk level between dividend and non-dividend stocks in USA and Poland, independently whether the risk measure exploited is stock volatility or its fractal dimension. Research limitations/implications: The research was based on limited number of companies analyzed. As a result, there could be present a bias introduced by the deterministic method of choosing a sample of stocks. It is recommended to enlarge the analyzed set in future research. Practical implications: Knowledge about similarities and differences among dividend and non-dividend companies is highly relevant to investors as well as corporate managements. As a consequence, better financial decisions could be taken leading to increased final wealth. Social implications: Among the social implications of the paper the possible change in investors’ attitude towards dividend and non-dividend companies seems most important. This could influence companies’ boards to adjust their payout policies to satisfy the investors. Finally, the improvement in investor’s needs fulfillment can be achieved. Originality/value: The novelty of the paper is the comparison of dividend and non-dividend stocks taking into account classical and modern risk measures. Moreover, it compares the efficiency of investing in dividend and non-dividend stocks during period 2015-2021, i.e. partially catching the effect of SARS-CoV-2 pandemic filling a gap in our knowledge.
EN
The present paper investigates the influence of stochastic noise on the estimation of the fractal dimension of the chaotic signal attractor for additive and multiplicative noises in the frequency and time domain. A simplified analogue measuring system noise model was proposed as the amplitude and phase noise in the Fourier domain, which was the equivalent of multiplicative and additive noise in the time domain. A numerical experiment was performed, which introduced noise of various intensities into the chaotic signal from the Chua system. It has been shown that in the logarithmic diagram of the correlation integral, additional scaling regions appear, the range of which increases with increasing noise intensity, causing dimension estimation errors. It has also been shown that without a thorough analysis of the correlation integral, deterministic noise can be easily confused with stochastic noise in the frequency domain.
PL
W pracy przedstawiono wpływ szumu stochastycznego na estymacje wymiaru fraktalnego atraktora sygnału chaotycznego dla szumów addytywnych i multiplikatywnych w dziedzinie częstości i czasu. Zaproponowano uproszczony model szumów analogowego toru pomiarowego jako szum amplitudowy i fazowy w dziedzinie Fouriera, stanowiący odpowiednik szumu multiplikatywnego oraz addytywnego w dziedzinie czasu. Wykonano eksperyment numeryczny, za którego pomocą wprowadzano do sygnału chaotycznego pochodzącego z numerycznego układu Chua szum o różnych natężeniach. Pokazano, że na wykresie logarytmicznym całki korelacyjnej pojawia się dodatkowe obszary skalowania, których zakres rośnie wraz ze wzrostem natężenia szumów, powodując błędy estymacji wymiaru. Pokazano również, że bez wnikliwej analizy całki korelacyjnej szum deterministyczny łatwo pomylić z szumem stochastycznym w dziedzinie częstości.
EN
Coal is a porous medium. Due to the large number of pores in coal and the pore size on its surface, usually ranging from millimeter to nanometer, it is difficult to measure and analyze the microscopic pore structure of coal. In order to investigate the effect of the microscopic pore structure of coal on its spontaneous combustion tendency, coal samples from different coal mines of the Kailuan Group were selected as the research objects, and the data of the microscopic pore distribution of three different coal samples were measured by using mercury injection apparatus. The regression analysis of microscopic pore data of coal samples obtained in the mercury injection experiment shows that the correlation coefficients of the regression curves are all greater than 0.94 and the fitting degree is good, indicating that there is a good correlation between the pressure, mercury intake and pore size of the coal samples, indicating that the fractal dimension of pore distribution is very effective. The fractal dimension is generally between 2 and 3, indicating that the microscopic pores of coal samples have good fractal characteristics and meet the fractal theory to describe the distribution characteristics of microscopic pores in porous media. Through the simulation system of natural combustion of coal, the simulation experiment of temperature rise oxidation of different coal samples (gas coal, fat coal, and coke coal) was carried out, and the curve of the concentration of gas products CO and CO2 in the process of temperature rise and oxidation of coal samples was drawn in the experiment. The experimental results show the relationship between the distribution structure of coal pores and its spontaneous combustion tendency, and the coal with a good distribution dimension has a stronger combustion tendency.
EN
The polymerase chain reaction (PCR) test is not only time-intensive but also a contact method that puts healthcare personnel at risk. Thus, contactless and fast detection tests are more valuable. Cough sound is an important indicator of COVID-19, and in this paper, a novel explainable scheme is developed for cough sound-based COVID-19 detection. In the presented work, the cough sound is initially segmented into overlapping parts, and each segment is labeled as the input audio, which may contain other sounds. The deep Yet Another Mobile Network (YAMNet) model is considered in this work. After labeling, the segments labeled as cough are cropped and concatenated to reconstruct the pure cough sounds. Then, four fractal dimensions (FD) calculation methods are employed to acquire the FD coefficients on the cough sound with an overlapped sliding window that forms a matrix. The constructed matrixes are then used to form the fractal dimension images. Finally, a pretrained vision transformer (ViT) model is used to classify the constructed images into COVID-19, healthy and symptomatic classes. In this work, we demonstrate the performance of the ViT on cough sound-based COVID-19, and a visual explainability of the inner workings of the ViT model is shown. Three publically available cough sound datasets, namely COUGHVID, VIRUFY, and COSWARA, are used in this study. We have obtained 98.45%, 98.15%, and 97.59% accuracy for COUGHVID, VIRUFY, and COSWARA datasets, respectively. Our developed model obtained the highest performance compared to the state-of-the-art methods and is ready to be tested in real-world applications.
EN
Identification of volcanic lithofacies is critical for reservoir exploration and a major difficulty in China's Liaohe oil field. In this paper, we present a fractal analysis method for identifying volcanic facies by estimating the fractal dimension of logging data. The fractal properties of lithofacies logging curves are explored, as well as the categorization scheme of volcanic lithofacies in the eastern sag of the Liaohe basin. Five logging curves impacted by volcanic lithofacies from four wells in the Liaohe basin's eastern depression were chosen. The Box-counting dimension is used to develop a logging lithofacies identification criterion. Furthermore, we calculated the fractal dimension of logging curves using box-counting dimension methods.
EN
A petrographic description of olivine, ortho-, clinopyroxene, and plagioclase was obtained for rocks derived from a Paleoproterozoic layered intrusion of the Monchepluton. Based on these results, calculations were made of the fractal box dimension, which determines the degree of development of the boundaries of these minerals. After the calculations, they were illustrated on maps showing the correlation of this coefficient with the location of the sample in the field. These results were then correlated with petrographic observations. Based on this method, the analogies between the result of the fractal dimension and the petrographic description of rock-forming minerals were assessed. The data show that such an analogy to a limited extent may be a significant indicator for the interpretation of the results. The use of this method is not universal and strictly depends on the mineral association and the knowledge obtained by classic petrographic studies.
10
Content available remote Fraktale i ich zastosowania
PL
Artykuł ten ma na celu wyjaśnienie czym właściwie są fraktale i jak często można je spotkać w otaczającym nas świecie. Praca prezentuje, jak pozornie bezużyteczne obiekty geometryczne nazywane fraktalami, wykorzystuje się we współczesnej nauce oraz innych dziedzinach życia.
EN
Purpose: The purpose of the paper is to illustrate the usage of techniques known from chaos theory to analyze the risk Design/methodology/approach: In this case the objects of application are winnings graphs of different poker players. Two types of players are presented; winning players (those with positive expected value) and breaking even players (expected value close to zero). Findings: Charts were analyzed with a fractal dimension calculated with the box method. Originality/value: Relation between fractal dimension and Hurst exponent is shown. Relation between risk in sense of chaos theory and players’ long-term winning is also described. Further applications of chaos theory to analyze the risk in games of chance are also proposed.
EN
The aim of this study was to build a machine learning model to discriminate Attention Deficit Hyperactivity Disorder (ADHD) patients and healthy controls using information from both time and frequency analysis of Event Related Potentials (ERP) obtained from Electroencephalography (EEG) signals while participants performed an auditory oddball task. The study included 23 unmedicated ADHD patients and 23 healthy controls. The EEG signal was analyzed in time domain by nonlinear brain dynamics and morphological features, and in time-frequency domain with wavelet coefficients. Selected features were applied to various machine learning techniques including; Multilayer Perceptron, Naïve Bayes, Support Vector Machines, k-nearest neighbor, Adaptive Boosting, Logistic Regression and Random Forest to classify ADHD patients and healthy controls. Longer P300 latencies and smaller P300 amplitudes were observed in ADHD patients relative to controls. In fractal dimension calculation relative to the control group, the ADHD group demonstrated reduced complexity. In addition, certain wavelet coefficients provided significantly different values in both groups. Combining these extracted features, our results indicated that Multilayer Perceptron method provided the best classification with an accuracy rate of 91.3% and a high level of reliability of concurrence (Kappa = 0.82). The results showed that combining time and frequency domain features can be a useful and discriminative for diagnostic purposes in ADHD. The study presents a supporting diagnostic tool that uses EEG signal processing and machine learning algorithms. The findings would be helpful in the objective diagnosis of ADHD.
13
Content available On a formula finding fractal dimension
EN
Purpose: The article is devoted to the determination of the fractal dimension of cellular concrete, in particular foam concrete, and the further clarification of the relationship between fractal dimension and porosity and average density of cellular concrete. Design/methodology/approach: In the theoretical description of disordered systems, the fundamentals of fractal theory are actively used, which allow obtaining statistical indicators of chaotic natural and artificially disordered systems, which include cellular concrete. The parameters of the pore structure are difficult to quantify by conventional methods because of the complexity and irregularity of the pore structure due to their random distribution. Findings: Formulas for calculating the fractal dimension and average density of highly porous material are calculated and proposed. The formula for calculating the average density takes into account the density of the material between the pore walls. Research limitations/implications: The calculation of the fractal dimension is one of the main factors affecting the practical application of the theory of fractals, a natural problem arises on a theoretical basis to justify these calculations. Practical implications: The formulas proposed in this work for calculating the fractal dimension and density of a highly porous structure improve research on methods for producing substances with a controlled fractal structure, which will help create materials with unusual mechanical properties, density, and porosity. Originality/value: The formula for calculating the fractal dimension obtained in the work improves the well-known Hausdorff-Bezikovich formula. On the other hand, it makes it possible to obtain a highly porous structure with a given density of the material under study.
14
Content available FRACTALS – return to origin
EN
Fractals have become fashionable. Therefore, in recent years there have been many articles in which the authors support something that they call a fractal account, including, for example, the sum of fractal dimensions. This paper is a recapitulation of what a fractal account is in the Earth sciences, what are its uses and boundaries. The definition of fractals is: it has a non trite structure in all scales, it is very hard to describe fractal structure in the Euclidean geometry, it is self-similar (directly or statistical), its Hausdorf dimension is greater than its topological dimension, it is described by recurrent formula, its dimension is not an integral number. In the face of such a wide and imprecise formula, various fields of science have introduced their definitions of fractal. It only has to meet most of the conditions included in the definition. In the analysis of geological objects in Earth sciences and in oil and gas industry, fractals are defined by the recurrence formula with its range of applicability, fractal dimension share a part of the space occupied by the fractal object, so the highest value of fractal dimension is equal to 3. Fundamental work in which the name of fractals for self- similar objects were introduced was The Fractal Geometry of Nature by Mandelbrot (1977). In the Earth sciences, statistical fractals (pseudofractals) are used. The straight line in the log-log plot is the indicator of fractal structure. In other words, the fractal structures are associated with the power patterns obtained during the analysis of geological objects. Generally, in the analysis of geological objects the Menger sponge and box methods of fractal dimension calculations are used. Fractals provide a unique opportunity to characterize complicated objects with the use of a single number, nevertheless, in order for the obtained results to be applicable and comparable with the results of other analyzes, both the model of the analyzed object and the method of calculation of the fractal dimension should be given, as well as the scope of applicability of this dimension.
PL
Fraktale stały się modne. W związku z tym w ostatnich latach obserwuje się wiele artykułów, w których autorzy wspierają się czymś, co nazywają rachunkiem fraktalowym, łącznie np. z sumowaniem wymiarów fraktalowych. Niniejszy artykuł stanowi rekapitulację tego, czym jest rachunek fraktalowy w naukach o Ziemi, jakie są jego zastosowania i granice. Co jest, a co nie jest fraktalem. Zasadniczo na definicję wymiaru fraktalnego składają się następujące warunki: nie jest prostą i taką samą strukturą we wszystkich skalach, bardzo trudno opisać go w geometrii euklidesowej, jest strukturą samopodobną (wprost lub statystycznie), jego wymiar Hausdorffa jest większy od jego wymiaru topologicznego, jest opisany formułą rekurencyjną oraz jego wymiar nie jest liczbą całkowitą. Wobec tak szerokiej i nieprecyzyjnej formuły różne dziedziny nauki wprowadziły swoje definicje fraktala. Ma on jedynie spełniać większość warunków zapisanych w definicji. W naukach o Ziemi fraktale definiowane są przez wzory rekurencyjne z analizą obszaru stosowalności. W analizie obiektów geologicznych wymiar fraktalny wskazuje na część przestrzeni zajmowaną przez dany obiekt, w związku z czym jego wartość nie może przekraczać 3. Mandelbrot w swojej fundamentalnej pracy The Fractal Geometry of Nature (1977) wprowadził nazwę fraktala jako obiektu samopodobnego. W naukach o Ziemi stosowane są fraktale statystyczne, zwane również pseudofraktalami. Wskaźnikiem struktury fraktalnej jest linia prosta na wykresie typu log-log. Inaczej mówiąc, fraktalne struktury są związane ze wzorami potęgowymi uzyskanymi podczas analizy obiektów geologicznych. Zasadniczo w analizie obiektów geologicznych stosujemy model gąbki Mengera oraz wymiar pudełkowy dla obiektów dwuwymiarowych. Fraktale dają unikalną możliwość scharakteryzowania skomplikowanych struktur za pomocą jednej liczby. Tym niemniej, aby otrzymane wyniki były stosowalne i porównywalne z wynikami innych analiz, należy zarówno podać model analizowanego obiektu i sposób wyliczenia wymiaru fraktalnego, jak też określić zakres stosowalności tego wymiaru. Tylko wtedy wymiar fraktalny będzie miał sens fizyczny.
EN
Risk management is a very important issue related to investing in the stock market. As part of the portfolio analysis, which is used for this purpose, it is shown that it enables elimination of a significant part of risk accompanying financial instruments and construction of such investment portfolio that will be characterized by the risk level optimal for a investor. The main aim of the work will be an attempt to diversify the risk of the portfolio of shares, constructed on the basis of a measure coming from the theory of deterministic chaos, ie the fractal dimension.
PL
Zarządzanie ryzykiem jest bardzo ważnym zagadnieniem związanym z inwestowaniem na giełdzie. W ramach analizy portfelowej, która wykorzystywana jest między innymi do tego celu, wykazuje się, że umożliwia ona wyeliminowanie znacznej części ryzyka towarzyszącego instrumentom finansowym i konstruowanie takiego portfela inwestycyjnego, który będzie się charakteryzował optymalnym dla danego inwestora poziomem ryzyka. Głównym celem pracy będzie próba zdywersyfikowania ryzyka portfela akcji, zbudowanego na podstawie miary wywodzącej się z teorii chaosu deterministycznego, tj. wymiaru fraktalnego.
PL
Rachunek fraktalny jest jedną z szybko rozwijających się dziedzin matematyki i znajduje zastosowanie między innymi w opisie struktur porowych. Stanowi nowe spojrzenie na ich nieregularność i chaotyczność. Aby mógł być stosowanym poprawnie, powinien być wspomagany analizą błędu. W artykule przedstawiono i zweryfikowano niedoskonałości związane z analizą obrazu oraz możliwe sposoby ich korekcji. Jednym z kluczowych aspektów podczas takich badań jest miejsce oraz ilość wykonanych zdjęć. Sfotografowano powiększony obraz gruboziarnistego piaskowca w płytce cienkiej, uzyskany przy użyciu lupy binokularnej. Następnie wykonane zdjęcia zostały połączone w jedno. Otrzymane rozkłady parametrów fraktalnych pokazują ich zmienność oraz potwierdzają, że poprawnie wykonana seria zdjęć struktury porowej powinna zawierać zarówno obszary bardziej, jak i mniej porowate, a ich ilość należy dostosować do próbki. Zbadano wpływ rozdzielczości zdjęcia na wartości wymiaru fraktalnego oraz lakunarności. Wykorzystano zdjęcia wapienia wykonane w SEM z użyciem elektronów wstecznie rozproszonych w zakresie powiększeń 120–2000×. Dodatkowo badaniu poddany został pojedynczy por. Otrzymane wyniki wskazują, że dla dużego zakresu powiększeń wartości wymiaru fraktalnego są zbliżone, natomiast lakunarność każdorazowo się zmienia. Jest to związane ze zmieniającą się jednorodnością zdjęcia. Analizie poddana została również metodyka wyznaczania rozkładu przestrzennego parametrów fraktalnych w oparciu o binaryzację. Stosowane metody zakładają, że binaryzacja następuje przed lub po podziale zdjęcia na mniejsze prostokąty, z których wyznaczane są wartości wymiaru fraktalnego oraz lakunarności. Indywidualna binaryzacja, pomimo czasochłonności, zapewnia lepsze wyniki, które są bardziej zbliżone do rzeczywistości. Nie jest możliwe zdefiniowanie jednej, słusznej metodyki do eliminowania błędów. Przedstawiono zbiór wskazówek, które mogą posłużyć do udoskonalenia wyników w przyszłej analizie obrazu struktur porowych.
EN
Fractal analysis is one of the rapidly evolving branches of mathematics and finds its application in different analyses such as pore space description. It constitutes a new approach to the issue of their natural irregularity and roughness. To be properly applied, it should be encompassed by an error estimation. The article presents and verifies uncertainties along with imperfections connected with image analysis and expands on the possible ways of their correction. One of key aspects of such research is finding both appropriate place and the number of photos to take. A coarse-grained sandstone thin section was photographed and then pictures were combined into one, bigger image. Fractal parameters distributions show their change and suggest that the accurately gathered group of photos include both highly and less porous regions. Their amount should be representative and adequate to the sample. The resolution influence on the fractal dimension and lacunarity values was examined. For SEM limestone images obtained using backscattered electrons, magnification in the range of 120x to 2000x was used. Additionally, a single pore was examined. The acquired results point to the fact that the values of fractal dimension are similar to a wide range of magnifications, while lacunarity changes each time. This is connected with changing homogeneity of the image. The article also undertakes a problem of determining fractal parameters spatial distribution based on binarization. The available methods assume that it is carried out after or before the image division into rectangles to create fractal dimension and lacunarity values for interpolation. An individual binarization, although time consuming, provides better results that resemble reality to a closer degree. It is not possible to define a single, correct methodology of error elimination. A set of hints has been presented that can improve results of further image analysis of pore space.
PL
W pracy przedstawiono możliwość zastosowania wymiaru fraktalnego do identyfikacji stanu procesu współspalania pyłu węglowego i biomasy. Przebadano dziewięć wariantów (klas) procesu współspalania z różnymi wartościami mocy cieplnej, wydatku powietrza i paliwa, przy 30% udziale biomasy. Wyniki pokazały, że wartość średnia wymiaru fraktalnego (szacowanego różnymi metodami) wykazuje tendencję do grupowania, co stwarza możliwości wykorzystania tego narzędzia w systemie automatycznej klasyfikacji.
EN
This paper presents use of the fractal dimension to identify co-firing pulverized coal and biomass process state. In research nine variants (classes) of co-firing process with different heating power, fuel at 30% of the biomass share and air flow were tested. Experimental results show that average value of fractal dimensions (estimated by various methods) tends to group, which makes possibilities to use this implements as the automatic classification system.
EN
The article dwells upon the peculiarities of radio signals concerning the use of remote-piloted vehicles. It is highlighted that it is important take into consideration the fractal analysis of remote-piloted vehicles based on diverse fractal dimensions. The significance of remote-piloted vehicle control system investigation based on radio signals is presented. Also it is highlighted that there are many hindrances during the remote-piloted vehicle flight and it is important to take them into consideration and develop methods in order to omit them. Also the vital role of remote-piloted vehicles in different spheres of life, for example, in environment research is depicted.
PL
W artykule został poruszony temat cech sygnałów radiowych w przypadku ich zastosowania w bezzałogowych statkach powietrznych. W pracy podkreśla się istotność bazowania na fraktalnych wymiarach podczas analizy fraktalnej bezzałogowych statków powietrznych. Podkreślono znaczenie sygnałów radiowych w systemach sterowania. Przedstawiono istnienie wielu utrudnień podczas lotów bezzałogowych statków powietrznych oraz wskazano na konieczność uwzględniania i opracowania metod uniknięcia tych utrudnień. Podkreślono również istotną rolę bezzałogowych statków powietrznych w różnych sferach życia, na przykład w badaniach środowiska.
19
Content available Wymiar fraktalny polskiego organizmu przestrzennego
EN
The analysis of the fractal dimension becomes one of the new approach features in spatial research. This approach bases on the perception of space as a living structure, an organism which in its complexity and heterogeneity is a multi-scale creation although holistically perceived. The aim of the authors was to determine the nationwide fractal dimensions for the distinguished construction categories and designation of general regularities in these layout.
EN
Changes in horticulture induce fruit producers to introduce more efficient tree pruning systems. The increase of efficiency is related to application of various cutting devices, the effect of which on cultivated fruit trees has not been completely recognized yet. Therefore, the objective of the paper was to compare and assess the fruit tree sprouts cut with various types of cutting units. Four cutting units were applied in the study: pruning shears, anvil secateur, circular saw and chain saw and four cultivars of fruit trees: apple, pear, plum and cherry tree. A fractal dimension was used for assessment of the cutting quality that allows assessment of the spatial complexity of the image of the cut sprout. The obtained results allowed determination that the least sprout damaging cutting system is in case of the use of the anvil secateur and pruning shears (the best cutting quality) then circular and chain saw. It was also proved that susceptibility to damage is characteristic for the investigated fruit trees. Pear trees proved the lowest susceptibility to damages regardless the cutting unit.
PL
Zmiany zachodzące w sadownictwie, skłaniają producentów owoców do wprowadzania coraz wydajniejszych systemów cięcia drzew. Zwiększenie wydajności wiąże się ze stosowaniem różnych zespołów tnących, których oddziaływanie na uprawiane drzewa owocowe nie jest do końca poznane. Dlatego celem pracy było porównanie i ocena pędów drzew owocowych przecinanych różnymi rodzajami zespołów tnących. W badaniach wykorzystano cztery zespoły tnące: sekator nożycowy, sekator kowadełkowy, piłę tarczową i piłę łańcuchową oraz cztery gatunki drzew owocowych: jabłoń, grusza, śliwa i wiśnia. Do oceny jakości cięcia wykorzystano wymiar fraktalny, który pozwala na ocenę złożoności przestrzennej obrazu przeciętego pędu. Otrzymane wyniki pozwoliły stwierdzić, że najmniej uszkadzający pędy system cięcia to zastosowanie sekatora kowadełkowego i nożycowego (jakość cięcia najlepsza), następnie piły tarczowej i piły łańcuchowej. Również wykazano, że podatność na uszkodzenia jest cechą charakterystyczną dla badanych drzew owocowych. Pędy gruszy okazały się być najmniej podatne na uszkodzenia niezależnie od stosowanego zespołu tnącego.
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