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Search results for: optimization%20of%20chemical%20processes
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Implementation of multicriteria decision analysis in design of experiment for dispersive liquid-liquid microextraction optimization for chlorophenols determination
PublicationA novel and efficient approach to optimization of extraction step prior the chromatographic determination of nine chlorinated phenols is described. It is based on the combination of design of experiments and multicriteria decision analysis. Such an approach is used to optimize dispersive liquid-liquid microextraction procedure for the determination of 9 chlorophenols in water samples. Three parameters are optimized – sample volume,...
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Inverse modeling for fast design optimization of small-size rat-race couplers incorporating compact cells
PublicationIn the paper, a framework for computationally-efficient design optimization of compact rat-race couplers (RRCs) is discussed. A class of hybrid RRCs with variable operating conditions is investigated, whose size reduction is obtained by replacing ordinary transmission lines with compact microstrip resonant cells (CMRCs). Our approach employs a bottom-up design strategy leading to the development of compact RRCs through rapid design...
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Atomistic Surrogate-Based Optimization for Simulation-Driven Design of Computationally Expensive Microwave Circuits with Compact Footprints
PublicationA robust simulation-driven design methodology for computationally expensive microwave circuits with compact footprints has been presented. The general method introduced in this chapter is suitable for a wide class of N-port un-conventional microwave circuits constructed as a deviation from classic design solutions. Conventional electromagnetic (EM) simulation-driven design routines are generally prohibitive when applied to numerically...
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Optimization algorithm and filtration using the adaptive TIN model at the stage of initial processing of the ALS point cloud
PublicationAirborne laser scanning (ALS) provides survey results in the form of a point cloud. The ALS point cloud is a source of data used primarily for constructing a digital terrain model (DTM). To generate a DTM, the set of ALS observations must be first subjected to the point cloud processing methodology. A standard methodology is composed of the following stages: acquisition of the ALS data, initial processing (including filtration),...
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Optimization of Self-Organized TiO2 Nanotube Geometry on Ti and Ti Alloys Using Fuzzy Logic Reasoning
PublicationThe geometry of self-organized TiO2 nanotubes, obtained by electrochemicalanodization, has been determined by using fuzzy reasoning approach. The efficiency of TiO2nanotubular layer in biomedical applications depends on geometry and available surface area ofnanotubes, which can be determined by their diameter and length. The structure of nanotubesdepends on processing parameters of electrochemical anodization, like applied potential,anodization...
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Space Mission Risk, Sustainability and Supply Chain: Review, Multi-Objective Optimization Model and Practical Approach
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PLC-based Implementation of Stochastic Optimization Method in the Form of Evolutionary Strategies for PID, LQR, and MPC Control
PublicationProgrammable logic controllers (PLCs) are usually equipped with only basic direct control algorithms like proportional-integral-derivative (PID). Modules included in engineering software running on a personal computer (PC) are usually used to tune controllers. In this article, an alternative approach is considered, i.e. the development of a stochastic optimizer based on the (μ,λ) evolution strategy (ES) in a PLC. For this purpose,...
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Maximizing SDN resilience to node‐targeted attacks through joint optimization of the primary and backup controllers placements
PublicationIn Software Defined Networks (SDN) packet data switches are configured by a limited number of SDN controllers, which respond to queries for packet forwarding decisions from the switches. To enable optimal control of switches in real time the placement of controllers at network nodes must guarantee that the controller-to-controller and switch-to-controller communications delays are bounded. Apart from the primary controllers that...
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Efficient Simulation-Based Global Antenna Optimization Using Characteristic Point Method and Nature-Inspired Metaheuristics
PublicationAntenna structures are designed nowadays to fulfil rigorous demands, including multi-band operation, where the center frequencies need to be precisely allocated at the assumed targets while improving other features, such as impedance matching. Achieving this requires simultaneous optimization of antenna geometry parameters. When considering multimodal problems or if a reasonable initial design is not at hand, one needs to rely...
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Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
PublicationThe rapid development of shipping trade pushes automated container terminals toward the direction of intelligence, safety and efficiency. In particular, the formulation of AGV scheduling tasks and the safety and stability of transportation path is an important part of port operation and management, and it is one of the basic tasks to build an intelligent port. Existing research mainly focuses on collaborative operation between...
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Classification of Covid-19 using Differential Evolution Chaotic Whale Optimization based Convolutional Neural Network
PublicationCOVID-19, also known as the Coronavirus disease-2019, is an transferrable disease that spreads rapidly, affecting countless individuals and leading to fatalities in this worldwide pandemic. The precise and swift detection of COVID-19 plays a crucial role in managing the pandemic's dissemination. Additionally, it is necessary to recognize COVID-19 quickly and accurately by investigating chest x-ray images. This paper proposed a...
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Machine-Learning-Based Global Optimization of Microwave Passives with Variable-Fidelity EM Models and Response Features
PublicationMaximizing microwave passive component performance demands precise parameter tuning, particularly as modern circuits grow increasingly intricate. Yet, achieving this often requires a comprehensive approach due to their complex geometries and miniaturized structures. However, the computational burden of optimizing these components via full-wave electromagnetic (EM) simulations is substantial. EM analysis remains crucial for circuit...
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A structure and design optimization of novel compact microscrip dual-band rat-race coupler with enhanced bandwidth
PublicationIn the letter, a topology of a novel compact wideband dual-band rat-race coupler has been presented along with its computationally efficient design optimization procedure. Reduction of the circuit size has been achieved by meandering transmission lines of the conventional circuit. At the same time, the number of independent geometry parameters has been increased so as to secure sufficient flexibility of the circuit, necessary in...
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Multicriteria Optimization Approach to Design and Operation of District Heating Supply System over its Life Cycle
PublicationDistrict Heating (DH) systems are commonly supplied using local heat sources. Nowadays, modern insulation materials allow for effective and economically viable heat transportation over long distances (over 20 km). In the paper a method for optimized selection of design and operating parameters of long distance Heat Transportation System (HTS) is proposed. The method allows for evaluation of feasibility and effectivity of heat transportation...
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Optimization of the Aeration Strategies in a Deammonification Sequencing Batch Reactor for Efficient Nitrogen Removal and Mitigation of N2O Production
PublicationIn deammonification systems, nitrite-oxidizing bacteria (NOB) suppression and nitrous oxide (N2O) mitigation are two important operational objectives. To carry out this multivariable analysis of response, a comprehensive model for the N cycle was developed and evaluated against experimental data from a laboratory-scale deammonification granular sludge sequencing batch reactor. Different aeration strategies were tested, and the manipulated...
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Low-Cost Quasi-Global Optimization of Expensive Electromagnetic Simulation Models by Inverse Surrogates and Response Features
PublicationConceptual design of contemporary high-frequency structures is typically followed by a careful tuning of their parameters, predominantly the geometry ones. The process aims at improving the relevant performance figures, and may be quite expensive. The reason is that conventional design methods, e.g., based on analytical or equivalent network models, often only yield rough initial designs. This is especially the case for miniaturized...
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Tuning Electrochemical Performance by Microstructural Optimization of the Nanocrystalline Functional Oxygen Electrode Layer for Solid Oxide Cells
PublicationFurther development of solid oxide fuel cell (SOFC) oxygen electrodes can be achieved through improvements in oxygen electrode design by microstructure miniaturisation alongside nanomaterials implementation. In this work, improved electrochemical performance of an La0.6Sr0.4Co0.2Fe0.8O3-d (LSCF) cathode was achieved by the controlled modification of the La0.6Sr0.4CoO3-d (LSC) nanocrystalline interlayer introduced between a porous...
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Optimization of the Hardware Layer for IoT Systems using a Trust Region Method with Adaptive Forward Finite Differences
PublicationTrust-region (TR) algorithms represent a popular class of local optimization methods. Owing to straightforward setup and low computational cost, TR routines based on linear models determined using forward finite differences (FD) are often utilized for performance tuning of microwave and antenna components incorporated within the Internet of Things systems. Despite usefulness for design of complex structures, performance of TR methods...
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Performance evaluation and model-based optimization of the mainstream deammonification in an integrated fixed-film activated sludge reactor
PublicationThis study aimed to model and optimize mainstream deammonification in an integrated fixed-film activated sludge (IFAS) pilot plant under natural seasonal temperature variations. The effect of gradually decreasing temperature on the performance was evaluated during a winter season and a transition period to summer conditions, and the correlation of the performance parameters was investigated using principal component analysis (PCA)....
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Generalized regression neural network and fitness dependent optimization: Application to energy harvesting of centralized TEG systems
PublicationThe thermoelectric generator (TEG) system has attracted extensive attention because of its applications in centralized solar heat utilization and recoverable heat energy. The operating efficiency of the TEG system is highly affected by operating conditions. In a series-parallel structure, due to diverse temperature differences, the TEG modules show non-linear performance. Due to the non-uniform temperature distribution (NUTD) condition,...
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Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland
PublicationWind energy (WE), which is one of the renewable energy (RE) sources for generating electricity, has been making a significant contribution to obtaining clean and green energy in recent years. Fitting an appropriate statistical distribution to the wind speed (WS) data is crucial in analyzing and estimating WE potential. Once the best suitable statistical distribution for WS data is determined, WE potential and potential yield could...
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Particle Swarm Optimization Based Optimal Design of Six-Phase Induction Motor for Electric Propulsion of Submarines
PublicationAbstract: Recent research reveals that multi-phase motors in electric propulsion systems are highly recommended due to their improved reliability and efficiency over traditional three phase motors. This research presented a comparison of optimal model design of a six phase squirrel cage induction motor (IM) for electric propulsion by using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). A six phase squirrel cage induction...
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Optimization-Based High-Frequency Circuit Miniaturization through Implicit and Explicit Constraint Handling: Recent Advances
PublicationMiniaturization trends in high-frequency electronics have led to accommodation challenges in the integration of the corresponding components. Size reduction thereof has become a practical necessity. At the same time, the increasing performance demands imposed on electronic systems remain in conflict with component miniaturization. On the practical side, the challenges related to handling design constraints are aggravated by the...
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On Decomposition-Based Surrogate-Assisted Optimization of Leaky Wave Antenna Input Characteristics for Beam Scanning Applications
PublicationRecent years have witnessed a growing interest in reconfigurable antenna systems. Travelling wave antennas (TWAs) and leaky wave antennas (LWAs) are representative examples of structures featuring a great level of flexibility (e.g., straightforward implementation of beam scanning), relatively simple geometrical structure, low profile, and low fabrication cost. Notwithstanding, the design process of TWAs/LWAs is a challenging endeavor...
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EM-Driven Multi-Objective Optimization of a Generic Monopole Antenna by Means of a Nested Trust-Region Algorithm
PublicationAntenna structures for modern applications are characterized by complex and unintuitive topologies that are difficult to develop when conventional experience-driven techniques are of use. In this work, a method for automatic generation of antenna geometries in a multi-objective setup has been proposed. The approach involves optimization of a generic spline-based radiator with adjustable number of parameters using a nested trust-region-based...
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A Novel Trust-Region-Based Algorithm with Flexible Jacobian Updates for Expedited Optimization of High-Frequency Structures
PublicationSimulation-driven design closure is mandatory in the design of contemporary high-frequency components. It aims at improving the selected performance figures through adjustment of the structure’s geometry (and/or material) parameters. The computational cost of this process when employing numerical optimization is often prohibitively high, which is a strong motivation for the development of more efficient methods. This is especially...
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Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit
PublicationIn the present scenario, air quality prediction (AQP) is a complex task due to high variability, volatility, and dynamic nature in space and time of particulates and pollutants. Recently, several nations have had poor air quality due to the high emission of particulate matter (PM2.5) that affects human health conditions, especially in urban areas. In this research, a new optimization-based regression model was implemented for effective...
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Multi-parameter dataset on limnological variables and modern sedimentation at Lake Żabińskie, northeast Poland, 2012-2021
Open Research DataThe dataset presents the results of a decade-long investigations of limnological processes and sedimentation at Lake Żabińskie located in northeast Poland. We collected a wide range of information on the lake water physical and chemical characteristics, modern sedimentation dynamics, and hydrochemistry of incoming streams and outflow from the lake....
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The origin of luminescence accompanying electrochemical reduction or chemical decomposition of peroxydisulfates
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Variability of physico-chemical parameters in precipitation in Poland (1996-1999)
PublicationW publikacji przedstawiono wyniki badań przeprowadzonych w latach 1996-1999, dotyczących analizy próbek osadów atmosferycznych zebranych w trzech miejscach pobierania próbek. Zostały one porównane z wynikami otrzymanymi w pięciu innych miejscach na terenie Polski, rozmieszczonych zarówno na terenach objętych ochroną, takich jak parki narodowe, jak również narażonych na silny wpływ zanieczyszczeń pochodzących z aglomeracji miejskich...
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On the sensitivity, selectivity, sensory information and optimalsize of resistive chemical sensors
PublicationWykorzystano pojęcia teorii informacji do określenia możliwości poprawy selektywności i czujności rezystancyjnych sensorów gazu. Podano ogólne rozważania dotyczące limitu selektywnoœci dla tych sensorów. Porównano iloraz sygnału do szumów oraz pojemność kanału informacyjnego dla sensorów chemicznych wykorzystujących jako sygnał zjawiska fluktuacyjne z klasycznymi sensorami charakteryzowanymi jedną wartością. Ogólne rozważania wsparto...
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Fog water chemical composition in different geographic regions of Poland
PublicationPróbki wody z mgły pobierane były w latach 2005-2006 na terenie Szrenicy, Zakopanego i Borucina. Analiza statystyczna ujawniła znaczące różnice w składzie chemicznym próbek wody z mgły w zależności od regionu geograficznego, wysokości pobierania próbek, ale także od momentu pobierania próbki. Stwierdzono również różnice składu chemicznego pomiędzy mgłą radiacyjna a orograficzną.
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Effect of Genetically Modified Feeds on Physico-Chemical Properties of Pork
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Spectroscopic and quantum chemical study of phthalocyanines with 1,4,7-trioxanonyl moieties
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Chemical order and crystallographic texture of FePd:Cu thin alloy films
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Quantum chemical modelling of the process of lithium insertion into WO3 films
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Characterization of the natural chemical and osmotic environment of early wheat embryogenesis
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Health Benefits and Chemical Composition of Matcha Green Tea: A Review
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Assessment of chemical‐crosslink‐assisted protein structure modeling in CASP13
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The speciation and physico-chemical forms of metals in surface waters and sediments
PublicationWody powierzchniowe mogą być zanieczyszczone przez metale występujące w różnych formach fizykochemicznych przez metale w postaci jonowej jak i również metale związane z materia zawieszoną. Substancje nierozpuszczone występujące w postaci koloidów lub w postaci zaabsorbowanej na powierzchni materii zawieszonej mogą ulegać procesowi rozpuszczania w odpowiedzi na zamianę warunków chemicznych i fizycznych środowiska wodnego.Również...
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Fog water chemical composition in different geographic regions of Poland
PublicationPróbki wody z mgły były pobierane za pomocą pasywnych i aktywnych próbników na trzech stacjach pobierania próbek. Miejsca pobierania próbek usutuowane były w różnych regionach geograficznych Polski. Analizowano następujące parametry: przewodność, pH, wybrane kationy i aniony. Uzyskane wyniki mogą stanowić wartościową informacje na temat chemizmu atmosfery.Statystyczna analiza wyników wskazuje na znaczne różnice w wartościach otrzymanych...
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Functional properties of packaging materials from chemical modified stach.
PublicationThis work is focused on study of the mechanical and barrier properties of films obtained from potato starch modified with sodium tetrahydroxozincate generated in situ. The results show that the chemical modification of starch improved the water vapor permeability by about 25%, unfortunately decreased the elongation at break by 60%, when compared with unmodified starch films. However, placitization of films with glycerol at a concentration...
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Experimental Validation of the Chemical Recycling of Crystalline Silicon Solar Cells
PublicationW ostatnich latach systemy fotowoltaiczne stają się bardzo popularne na całym świecie jako korzystne dla środowiska rozwiązanie problemów energetycznych. Zagadnienie zagospodarowania zużytych elementów systemów fotowoltaicznych, których ilość w przyszłości może być znaczna, nie zostało do tej pory opracowane. Konieczne jest znalezienie optymalnej metody recyklingu i ponownego wykorzystania wycofanych z użycia elementów składowych...
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Chemical characteristics of new nanopowder of titania doped with nitrogen atoms
PublicationW pracy zaprezentowano charakterystykę domieszkowanego azotem ditlenku tytanu otrzymanego na drodze jednoetapowej syntezy z kompleksu tytanu (IV) z ligandami zawierającymi atomy azotu. ikrostruktura i morfologia nowego materiału została określony za pomocą badań XRD, AFM, UV-VIS i FT-IR. Raport przedstawia również badania elektrochemiczne, które pozowliły na wyznaczenie potencjału pasma płaskiego na podstawie wykresu Mott
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Chemical interaction between perovskite La0.6Sr0.4FeO3 and Super-Ionic Zr0.84Y0.16Ox
PublicationW pracy przedstawiono wyniki badań interakcji chemicznej pomiędzy materiałem perowskitowym LSF a materiałem superjonowym YSZ. Materiał superjonowy został wytworzony w niskiej temperaturze z użyciem prekusora polimerowego i zawiesiny proszku ceramicznego.W badaniach korzystano z spektroskopii rentgenowskiej.
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Chapter 14. Physical and chemical interaction of componenets in food systems
PublicationBiałka, lipidy, sacharydy, składniki mineralne, woda i inne związki występują w żywności w postaci roztworów i różnych mikrostruktur - kropelek, globulek, kryształów, włókienek i błon. Reaktywne grupy funkcyjne tych składników wchodzą w warunkach przechowywania i obróbki, szczególnie po zniszczeniu oryginalnych struktur, w interakcje wpływające na barwę, zapach, smak i reologiczne właściwości żywności. W technologii żywności wykorzystuje...
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Application of Discrete Wavelet Transform in the Analysis of Nonlinear Chemical System
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Chemical and Genetic Diversity of Nodularia spumigena from the Baltic Sea
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Physical, Chemical and Mechanical Properties of Novel Poly(Urethaneamideimide)s
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Chemical instability of the cobalt oxyhydrate superconductor under ambient conditions
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