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Search results for: TRANSITION NETWORK GRAPHS
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Equitable and semi-equitable coloring of cubic graphs and its application in batch scheduling
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Minimum vertex ranking spanning tree problem for chordal and proper interval graphs
PublicationW pracy rozważamy problem szukania, dla danego grafu prostego, drzewa spinającego, którego uporządkowana liczba chromatyczna jest minimalna. K.~Miyata i inni dowiedli w [Np-hardness proof and an approximation algorithm for the minimum vertex ranking spanning tree problem,Discrete Appl. Math. 154 (2006) 2402-2410], że odpowiedni problem decyzyjny jest NP-trudny już w przypadku pytania o istnienie uporządkowanego 4-pokolorowania....
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How to meet when you forget: log-space rendezvous in arbitrary graphs
PublicationProblem rendezvous został dogłębnie zbadany, zarówno dla agendów anonimowych jak i poetykietowanych. zbadano też problem eksploracji grafu za pomocą agentów mobilnych.
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Derandomizing random walks in undirected graphs using locally fair exploration strategies
PublicationW pracy rozważono problem eksploracji anonimowego nieskierowanego grafu przez bezpamięciowego robota. Zaprojektowane strategie eksploracji cechują się własnością lokalnej sprawiedliwości, tj. kolejne krawędzie trawersowane przez robota wybierane są na podstawie lokalnych informacji tak, aby zapewnić równomierne wykorzystanie krawędzi w sensie pewnego kryterium. Okazuje się, że odpowiedni dobór kryterium jest kluczowy do zapewnienia...
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A note on fast approximate backbone coloring of split graphs with star--like backbones
PublicationDla grafu G = (V, E) z wyróżnionym podgrafem H, kolorowanie szkieletowe jest zdefiniowane jako odwzorowanie c spełniające |c(u) - c(v)| > 1 dla każdej krawędzi z E(H) oraz |c(u) - c(v)| > 0 dla każdej krawędzi z E(G). W pracy przedstawiono 1-przybliżony algorytm kolorowania szkieletowego split grafów ze skojarzeniem w szkielecie o złożoności O(|V|) oraz 1-przybliżony algorytm dla split grafów z rozłącznymi gwiazdami w szkielecie.
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Scheduling of unit-length jobs with bipartite incompatibility graphs on four uniform machines
PublicationThe problem of scheduling n identical jobs on 4 uniform machines with speeds s1>=s2>=s3>=s4 is considered.The aim is to find a schedule with minimum possible length. We assume that jobs are subject to mutual exclusion constraints modeled by a bipartite incompatibility graph of degree delta. We show that the general problem is NP-hard even if s1=s2=s3. If, however, delta<5 and s1>12s2 s2=s3=s4, then the problem can be solved to...
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Scheduling of identical jobs with bipartite incompatibility graphs on uniform machines. Computational experiments
PublicationWe consider the problem of scheduling unit-length jobs on three or four uniform parallel machines to minimize the schedule length or total completion time. We assume that the jobs are subject to some types of mutual exclusion constraints, modeled by a bipartite graph of a bounded degree. The edges of the graph correspond to the pairs of jobs that cannot be processed on the same machine. Although the problem is generally NP-hard,...
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Scheduling of unit-length jobs with cubic incompatibility graphs on three uniform machines
PublicationWe consider the problem of scheduling n identical jobs on 3 uniform machines with speeds s1, s2, and s3 to minimize the schedule length. We assume that jobs are subject to some kind of mutual exclusion constraints, modeled by a cubic incompatibility graph. We how that if the graph is 2-chromatic then the problem can be solved in O(n^2) time. If the graph is 3-chromatic, the problem becomes NP-hard even if s1>s2=s3.
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Musical Metadata Retrieval with Flow Graphs, in Rough Sets and Current Trends in Computing.
PublicationW pracy opisano metody wyszukiwania muzyki w Internecie w oparciu o opis semantyczny. W eksperymentach wykorzystano opis muzyczny stosowany w bazie CDDB. Zaprezentowano metodę grafów przepływowych zaproponowaną przez Pawlaka.
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Wireless Body Area Network for Preventing Self-Inoculation Transmission of Respiratory Viral Diseases
PublicationThis paper proposes an idea of Wireless Body Area Networks (WBANs) based on Bluetooth Low-Energy (BLE) standards to recognize and alarm a gesture of touching the face, and in effect, to prevent self-inoculation of respiratory viral diseases, such as COVID-19 or influenza A, B, or C. The proposed network comprises wireless modules placed in bracelets and a necklace. It relies on the received signal strength indicator (RSSI) measurements...
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APPLICATION OF STATISTICAL FEATURES AND MULTILAYER NEURAL NETWORK TO AUTOMATIC DIAGNOSIS OF ARRHYTHMIA BY ECG SIGNALS
PublicationAbnormal electrical activity of heart can produce a cardiac arrhythmia. The electrocardiogram (ECG) is a non-invasive technique which is used as a diagnostic tool for cardiac diseases. Non-stationarity and irregu- larity of heartbeat signal imposes many difficulties to clinicians (e.g., in the case of myocardial infarction arrhythmia). Fortunately, signal processing algorithms can expose hidden information within ECG signal contaminated...
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Consumer social network brand identification and personal branding. How do social network users choose among brand sites?
PublicationBrands’ social networking sites (fan pages) are increasingly attracting the attention of scientists and managers intrigued by their potential application for brand value creation. The aim of this research is to understand better how users choose among social networking sites as an act of brand identification. The study presents a new model whose structure of identification drivers for social networking brand sites varies for customer...
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Development of Intelligent Control for Annealing Unit to Ensure the Minimization of Retroactive Effects on the Supply Network
PublicationResearch conducted by our team focused on the development of a complete annealing unit, using modern technologies and components, such as a programmable logic controller, an industrial computer and microcontrollers, ensuring an intelligent way to control power semiconductor elements (SSR relays), with regard to minimizing retroactive effects on the supply network. This modern configuration offers a number of new possibilities of...
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Relay-aided Wireless Sensor Network Discovery Algorithm for Dense Industrial IoT utilizing ESPAR Antennas
PublicationIndustrial Internet of Things (IIoT) applicationsrequire reliable and efficient wireless communication. Assumingdense Wireless Sensor Networks (WSNs) operating in a harshenvironment, a concept of a Time Division Multiple Access(TDMA) based WSN enriched with Electronically SteerableParasitic Array Radiator (ESPAR) antennas is proposed andexamined in this work. The utilized...
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Prediction of metal deformation due to line heating; an alternative method of mechanical bending, based on artificial neural network approach
PublicationLine heating is one of the alternative methods of forming metals and this kind of forming uses the heating torch as a source of heat input. During the process, many parameters are considered like the size of the substrate, thickness, cooling method, source power intensity, the travel speed of the power source, the sequence of heating, and so on. It is important to analyze the factors affecting the...
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Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting
PublicationForecasting ice phenomena in river systems is of great importance because these phenomena are a fundamental part of the hydrological regime. Due to the stochasticity of ice phenomena, their prediction is a difficult process, especially when data sets are sparse or incomplete. In this study, two machine learning models—Multilayer Perceptron Neural Network (MLPNN) and Extreme Gradient Boosting (XGBoost)—were developed to predict...
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Partycypacja obywatelska młodzieży w opinii gmin polskich na przykładzie projektu South Baltic Youth Core Group Network
PublicationCelem badań było ukazanie partycypacji obywatelskiej młodzieży w opinii gmin polskich na przykładzie projektu South Baltic Youth Core Group Network
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Family business as a breeding ground for nascent entrepreneurs. An insight into transition economy: the case of Poland
PublicationArtykuł przedstawia analizę zagadnienia zdolności firm rodzinnych do generowania postaw preprzedsiębiorczych na przykładzie Polski jako kraju o gospodarce transformującej się od centralnie sterowanej do rynkowej. Część empiryczna oparta jest wynikach pilotażowych badań przeprowadzonych na studentach pierwszego roku WZiE PG, które to wyniki posłużyły do stworzenia wstępnej wersji modelu opisującego determinanty procesu generowania...
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Adiabatic Compressibilities of Divalent Transition-Metal Perchlorates and Chlorides in N,N-Dimethylacetamide and Dimethylsulfoxide
PublicationZmierzono prędkości rozchodzenia się dźwięku roztworów nadchloranów i chlorków manganu(II), kobaltu(II), niklu(II), miedzi(II) i cynku(II) w N,N-dimetyloacetamidzie i dimetylosulfotlenku w temperaturze 298.15 K. Obliczono ściśliwości adiabatyczne i pozorne ściśliwości adiabatyczne badanych roztworów. Przedyskutowano wpływ anionu i rodzaju rozpuszczalnika na uzyskane graniczne wartości pozornych ściśliwości adiabatycznych soli.
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Origin of the liquid-liquid phase transition for trans-1,2-dichloroethylene observed by IR spectroscopy
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The K x-ray line structures of the 3d-transition metals in warm dense plasma
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Mechanical properties and interfacial transition zone microstructure of concrete with waste basalt powder addition
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MicroscopicA75sNMR study of the effect of impurities on the first-order spin-density-wave transition inBaFe2As2
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Structural and catalytic properties of ceria layers doped with transition metals for SOFCs fueled by biogas
PublicationThe aim of this paper was to investigate an influence of the nanocrystalline Ce0.8A0.2O2-δ (A = Mn, Fe, Co, Ni, Cu) materials on the direct internal reforming of biogas in SOFC. Structural analysis of fabricated compounds has been done. An in-situ analysis of a composition of outlet gases from operating SOFC was performed using FTIR spectroscopy with simultaneous electrical tests. It was found out, that type of dopant strongly...
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Apparent molar volumes of divalent transition metal chlorides and perchlorates in dimethyl sulfoxide solutions.
PublicationZmierzono gęstości roztworów nadchloranów i chlorków dwuwartościowych metali szeregu Mn(II)-Zn(II) w dimetylosulfotenku. Wyznaczone na drodze ekstrapolacji cząstkowe objętości molowe nadchloranów rozdzielono na udziały jonowe. Przeanalizowano wpływ pola ligandów na cząstkowe objętości molowe kationów. Przedstawiono związek między wartościami pozornych objętości molowych a stanami koordynacyjnymi soli w DMSO.
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Apparent molar volumes of divalent transition metal perchlorates and chlorides in N,N-dimethylacetamide.
PublicationZmierzono gęstości roztworów nadchloranów i chlorków manganu(II), kobaltu(II), niklu(II), miedzi(II) i cynku(II) w temperaturach 10, 20,25, 30, 40, 50 i 60(o)C. Obliczono pozorne objętości molowe. Wyznaczono graniczne wartości cząstkowych molowych objętości tych soli oraz odpowiednie rozszerzalności. Przeanalizowano i wyjaśniono różnice we właściwościach wolumetrycznych roztworów nadchloranów i chlorków.
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Management of the transition spaces - comparison of the East European, West European and North American examples
PublicationArtykul dotyczy zagadnienia zagospodarowania przestrzeni stykowych pomiędzy strukturami portowymi i miejskimi w miastach portowych. Opisano w nim szereg przygkładów oraz zarysowano możliwe strategie zarządznaia tymi obszarami..
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Multipath routing for quality of service differentiation and network capacity optimization in broadband low-earth orbit systems
PublicationThis paper shows the importance of employing multiple different paths for routing in Inter-Satellite Link (ISL) networks in broadband Low-Earth Orbit (LEO) satellite systems. A theoretical analysis is presented and a routing concept is proposed to demonstrate three facts that make multipath routing especially important in broadband LEO networks: (1) differences in the propagation delays have a much greater impact on end-to-end...
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Selective adsorption of BTEX on calixarene-based molecular coordination network determined by 13C NMR spectroscopy
PublicationBenzene, toluene, ethylbenzene, and xylenes (BTEX), a class of volatile organic compounds, are harmful pollutants but also very important precursors in organic industrial chemistry. Among different approaches used for the BTEX treatment, the adsorption technology has been recognized as an efficient approach because it allows to recover and reuse both adsorbent and adsorbate. However, the selective adsorption of the components is...
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CMGNet: Context-aware middle-layer guidance network for salient object detection
PublicationSalient object detection (SOD) is a critical task in computer vision that involves accurately identifying and segmenting visually significant objects in an image. To address the challenges of gridding issues and feature...
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Selecting wells for an optimal design of groundwater monitoring network based on monitoring priority map: A Kish Island case study
PublicationThis paper presents a novel approach, i.e. a combination of gamma test and monitoring priority map, for optimal design of groundwater monitoring network (GMN) by considering the cumulative effects of industries, human activities, and natural factors on the groundwater quality. The proposed method was successfully applied to design an optimal network for groundwater salinity monitoring on Kish Island, Persian Gulf. The priority...
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Using Statistical Methods to Estimate The Worst Case Response Time of Network Software Running on Indeterministic Hardware Platforms
PublicationIn this paper we investigate whether the statistical Worst Case Execution Time (WCET) estimation methods devised for embedded platforms can be successfully applied to find the Worst Case Response Time (WCRT) of a network application running on a complex hardware platform such as a contemporary commercial off-the-shelf (COTS) system. Establishing easy-to-use timing validation techniques is crucial for real-time applications and...
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Design and Analysis of Artificial Neural Network (ANN) Models for Achieving Self-Sustainability in Sanitation
PublicationThe present study investigates the potential of using fecal ash as an adsorbent and demonstrates a self-sustaining, optimized approach for urea recovery from wastewater streams. Fecal ash was prepared by heating synthetic feces to 500 °C and then processing it as an adsorbent for urea adsorption from synthetic urine. Since this adsorption approach based on fecal ash is a promising alternative for wastewater treatment, it increases...
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Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier
PublicationThe contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...
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Hardware-Software Implementation of a Sensor Network for CityTraffic Monitoring Using the FPGA- and ASIC-Based Sensor Nodes
PublicationArtykuł opisuje prototypową sieć sensorową do monitorowania ruchu pojazdów w mieście. Węzły sieci sensorowej, wyposażone w kamerę o niskiej rozdzielczości, obserwują ulice i wykrywają poruszające się obiekty. Detekcja obiektów jest realizowana w oparciu o własny algorytm segmentacji obrazów, wykorzystujący podwójne odejmowanie tła, wykrywanie krawędzi i cieni, działający na dedykowanym systemie mikroelektronicznym typu ''System...
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Artificial neural network prophecy of ion exchange process for Cu (II) eradication from acid mine drainage
PublicationThe removal of heavy metal ions from wastewater was found to be significant when the cation exchange procedure was used effectively. The model of the cation exchange process was built using an artificial neural network (ANN). The acid mine drainage waste’s Cu(II) ion was removed using Indion 730 cation exchange resin. Experimental data from 252 cycles were recorded. In a column study, 252 experimental observations validated the...
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Role of miR-15b/16–2 cluster network in endometrial cancer: An in silico pathway and prognostic analysis
PublicationEndometrial cancer (EC) is the second most common cancer in women. A large number of human cancers exhibit dysregulation of microRNA expression including EC. MiR-15b/16–2 is one of the best-known miRNA clusters that is expressed in many types of cancer tissues. Herein, we analyzed the expression of individual miR-15b/16–2 cluster members, its paralogues, and their target network analysis, as well as their prognostic significance...
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Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network
PublicationIn recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...
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Neural-Network-Based Parameter Estimations of Induction Motors
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Compact Planar Balun for the UWB Dipole Feeding Network
PublicationW pracy opisano wyniki z badań numerycznych ultra szerokopasmowego symetryzatora planarnego o zredukowanych wymiarach. Układ został zaprojektowany w oparciu o konfigurację opisaną w literaturze. Względem konfiguracji bazowej, układ przeprojektowano na inne podłoże. W celu weryfikacji przydatności układu, przeprowadzono symulację anteny dipolowej zasilanej opisywanym symetryzatorem. Na podstawie otrzymanych rezultatów przekazano...
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Neural Network - Based Parameters Estimations Of Induction Motors
PublicationW artykule przedstwaiono algorytmy estymacji rezystancji wirnika i indukcyjności wzajemnej w zamkniętym układzie sterowania prędkości silnika indukcyjnego klatkowego. Do wyznaczenia rezystancji wykorzystano algorytm oparty na porównaniu modelu napięciowego i prądowego silnika. Do wyznaczania indukcyjności wykorzystano, znaną z literatury, zależność modelu multiskalarnego. Wyznaczane w stanie ustalonym parametry zapisywane są w...
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Building a heterogeneous network of digital libraries on the Semantic Web
PublicationBiblioteki dążą do skupiania się w grupy, które poza lokalnym wyszukiwaniem pozwalają na wyszukiwanie zasobów w pozostałych bibliotekach cyfrowych. Jednakże różne typy użytkowników zapoczątkowały różne rodzaje bibliotek. W niniejszym artykule przedstawiamy jak obecnie odbywa się komunikacja między bibliotekami cyfrowymi. Prezentujemy również w jaki sposób technologie Semantic Web mogą pomóc w rozwiązaniu problemów heterogenicznych...
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Platon Scientific HD TV Platform in PIONIER Network
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Metadata harvesting in regional digital libraries in the PIONIER network
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A Backtracking Search Algorithm for Distribution Network Reconfiguration Problem
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The Optical Transport Network Control Based on SDN Architecture
PublicationThe aim of this publication is to present research results on the usability of the Software-Defined Networking concept to control transport networks. For this purpose, an easy-to-use connection scheduler was developed capable of controlling connections in optical transport networks. The authors would like to present this solution and details of constructed SDN architecture implemented for modern optical transport solutions based...
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Cellular neural network application to moire pattern filtering
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International Network Optimization Conference, Warsaw, Poland 2015
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Traffic routing in the Warsaw metropolitan network: a deployment strategy
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Profitable areas in large-scale FTTH network optimization
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