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Search results for: GENETIC FINGERPRINTING
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New approach to railway noise modeling employing Genetic Algorithms
PublicationMain goal of this paper was to describe an innovative method of noise prediction based on Genetic Algorithms. First part of the paper addresses the problem of growing noise, mainly in the context of a unified method for measuring noise. Further, Genetic Algorithms are described with regards to their fundamental features. Further a description is provided as to how Genetic Algorithms were used in the area of noise modeling. Next...
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Specialized genetic operators in drinking water distribution systems control
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Genetic Positioning of Fire Stations Utilizing Grid-computing Platform
PublicationA chapter presents a model for determining near-optimal locations of fire stations based on topography of a given area and location of forests, rivers, lakes and other elements of the site. The model is based on principals of genetic algorithms and utilizes the power of the grid to distribute and execute in parallel most performance-demanding computations involved in the algorithm.
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A Parallel Genetic Algorithm for Creating Virtual Portraits of Historical Figures
PublicationIn this paper we present a genetic algorithm (GA) for creating hypothetical virtual portraits of historical figures and other individuals whose facial appearance is unknown. Our algorithm uses existing portraits of random people from specific historical period and social background to evolve a set of face images potentially resembling the person whose image is to be found. We then use portraits of the person's relatives to judge...
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How to support patients with BRCA genetic mutation? Research review.
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Ecosensitivity and genetic polymorphism of somatic traits in the perinatal development of twins
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Chapter 13 Geneticization and Bioethics: Ethical Dilemmas in Genetic Counselling
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Comparison of reproduction strategies in genetic algorithm approach to graph searching
Publicationgenetic algorithms (ga) are a well-known tool used to obtain approximate solutions to optimization problems. successful application of genetic algorithm in solving given problem is largely dependant on selecting appropriate genetic operators. selection, mutation and crossover techniques play a fundamental role in both time needed to obtain results and their accuracy. in this paper we focus on applying genetic algorithms in calculating...
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Genetic Programming with Negative Selection for Volunteer Computing System Optimization
PublicationVolunteer computing systems like BOINC or Comcute are strongly supported by a great number of volunteers who contribute resources of their computers via the Web. So, the high efficiency of such grid system is required, and that is why we have formulated a multi-criterion optimization problem for a volunteer grid system design. In that dilemma, both the cost of the host system and workload of a bottleneck host are minimized. On...
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Genetic Programming for Interaction Efficient Supporting in Volunteer Computing Systems
PublicationVolunteer computing systems provide a middleware for interaction between project owners and great number volunteers. In this chapter, a genetic programming paradigm has been proposed to a multi-objective scheduler design for efficient using some resources of volunteer computers via the web. In a studied problem, genetic scheduler can optimize both a workload of a bottleneck computer and cost of system. Genetic programming has been...
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Shape Optimisation of Kaplan Turbine Blades Using Genetic Algorithms
PublicationThis monograph is a comprehensive guide to a method of blade profile optimisation for Kaplan-type turbines. This method is based on modelling the interaction between rotor and stator blades. Additionally, the shape of the draft tube is investigated. The influence of the periodic boundary condition vs. full geometry is also discussed. Evolutionary algorithms (EA) are used as an optimisation method together with artificial neural...
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Hillcast - metoda łącznego kryptograficznego zabezpieczenia i fingerprintingu danych dla multicastowej dystrybucji informacji
PublicationW pracy zaproponowano nową, należącą do grupy JDF (ang. Joint Decryption and Fingerprinting) metodę łącznego kryptograficznego zabezpieczenia i fingerprintingu danych, przeznaczoną dla multicastowej dystrybucji informacji multimedialnych. Dane przeznaczone dla dużej liczby odbiorców są przez dystrybutora (właściciela) szyfrowane za pomocą szyfru blokowego, będącego zmodyfikowanym szyfrem Hilla, i w tej postaci są multicastowo przesyłane...
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Shadowing is generic---a continuous map case
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Concept of Generic IT Organization Evolution Model
PublicationThe purpose of this publication is to present a generic model of the IT organization evaluation process as an attempt to systematize and describe the continuous actions and changes in the organization.
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Evaluation and comparison of random amplification of polymorphic DNA, pulsed field gel electrophoresis and ADSRRS-fingerprinting for typing Serratiamarcescens outbreaks.
PublicationADSRRS-fingerprinting, nowa metoda genotypowania oparta na supresji reakcji PCR została zastosowana do badań epidemiologicznych izolatów S. marcescens,pochodzących z trzech różnych epidemii Szpitala Publicznego w Gdańsku. Wyniki uzyskane metodą ADSRRS-fingerprinting porównano z wynikami uzyskanymi technikami RAPD-fingerprinting i PFGE.
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Determination of flavanols by liquid chromatography with fluorescence detection. Application to the characterization of cranberry-based pharmaceuticals through profiling and fingerprinting approaches
PublicationIn this work, a new method based on reversed-phase high-performance liquid chromatography (HPLC) with fluorescence detection (FLD) was established for the determination of catechins and related oligomeric proanthocyanidins (PACs) in cranberry-based pharmaceuticals. Compounds were recovered by liquid extraction using methanol/water/hydrochloric acid (60:39:1, v:v:v) as the extraction solvent. The chromatographic separation was carried...
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Urine metabolic fingerprinting using LC–MS and GC–MS reveals metabolite changes in prostate cancer: A pilot study
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Geochemical fractionation and spectroscopic fingerprinting for evaluation of the environmental transformation of potentially toxic metal(oid)s in surface–subsurface soils
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Estimation of Synchronous Generator and AVR Parameters Based on Gradient and Genetic Methods
PublicationThe author present a method for the estimation of selected synchronous generator model and AVR parameters using a gradient and a genetic algorithm. The paper shows an example of model parameter estimation for a turbogenerator, based on the generator voltage time responses obtained during an active and reactive power rejection test
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Genetic and biochemical characterization of yeasts isolated from Antarctic soil samples
PublicationThe Polish Arctowski Station is situated in the maritime Antarctic on the western shore ot' Admiralty Bay and encompasses terrestrial habitats which are not perma-nently covered by ice, in contrast to morę than 90% of the island's surface area. Over the past several decades, stud-ies exploring the soils of those habitats have revealed a considerable diversity of bacteria, filamentous fungi, and, to a lesser extent, yeasts; however,...
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Optimization of a three-bed adsorption chiller by genetic algorithms and neural networks
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Genetic variation in IL-10 influences the progression of hepatitis B infection
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Association between susceptibility to photodynamic oxidation and the genetic background of Staphylococcus aureus
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A multilocus genetic risk score is associated with arterial stiffness in hypertensive patients
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Genetic determinants of plasma ACE and renin activity in young normotensive twins
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Finding Temperature Distribution at Heat Recovery Unit Using Genetic Algorithms
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The role of genetic factors and monocyte-to-osteoclast differentiation in the pathogenesis of Charcot neuroarthropathy
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A genetic algorithm application for automatic layout design of modular residential homes
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Selection of energy storage units by genetic algorithm for mitigating voltage deviations
PublicationIn recent years, energy storage units have become very popular. They are applied both for economic and technical purposes. Unfortunately, the cost of such devices is still high and selecting their proper location and rated power have to be performed precisely. In this paper, a Genetic-Algorithm-based optimization method for selecting the best configuration of energy storage units in the power network is proposed. The presented...
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Pose-Configurable Generic Tracking of Elongated Objects
PublicationElongated objects have various shapes and can shift, rotate, change scale, and be rigid or deform by flexing, articulating, and vibrating, with examples as varied as a glass bottle, a robotic arm, a surgical suture, a finger pair, a tram, and a guitar string. This generally makes tracking of poses of elongated objects very challenging. We describe a unified, configurable framework for tracking the pose of elongated objects, which...
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Generic emergence of classical features in quantum Darwinism
PublicationQuantum Darwinism posits that only specific information about a quantum system that is redundantly proliferated to many parts of its environment becomes accessible and objective, leading to the emergence of classical reality. However, it is not clear under what conditions this mechanism holds true. Here we prove that the emergence of classical features along the lines of quantum Darwinism is a general feature of any quantum dynamics:...
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Practical Use of Generic IT Organization Evolution Model
PublicationIn the paper we analyze, basing on the practical experiences, how the Generic IT Organization Model could be used to describe evolution of real-world IT support organization in relation to IT Service Management area.
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Generic appearance of objective results in quantum measurements
PublicationMeasurement is of central interest in quantum mechanics as it provides the link between the quantum world and the world of everyday experience. One of the features of everyday experience is its robust, objective character, contrasting the delicate nature of quantum systems. Here we analyze in a completely model-independent way the celebrated von Neumann measurement process, using recent techniques of information flow, studied in...
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Protection of visual data transmission for vessel traffic systems using joint fingerprinting and decryption method based on modified hill cipher
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Organic micropollutants paracetamol and ibuprofen—toxicity, biodegradation, and genetic background of their utilization by bacteria
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Ancient mitochondrial DNA and the genetic history of Eurasian beaver (Castor fiber) in Europe
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Genetic variability of Polish and Russian accessions of cultivated blue honeysuckle (Lonicera caerulea)
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Inferring population structure and genetic diversity of the invasive alien Nootka lupin in Iceland
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Genetic Algorithm Approach for Gains Selection of Induction Machine Extended Speed Observer
PublicationThe subject of this paper is gains selection of an extended induction machine speed observer. A high number of gains makes manual gains selection difficult and due to nonlinear equations of the observer, well-known methods of gains selection for linear systems cannot be applied. A method based on genetic algorithms has been proposed instead. Such an approach requires multiple fitness function calls; therefore, using a quality index...
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Multimodal Genetic Algorithm with Phase Analysis to Solve Complex Equations of Electromagnetic Analysis
PublicationIn this contribution, a new genetic-algorithm-based method of finding roots and poles of a complex function of a complex variable is presented. The algorithm employs the phase analysis of the function to explore the complex plane with the use of the genetic algorithm. Hence, the candidate regions of root and pole occurrences are selected and verified with the use of discrete Cauchy's argument principle. The algorithm is evaluated...
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Optimal design and control tuning of the power generation interfaces using genetic algorithms
PublicationReferat przedstawia zastosowania algorytmów genetycznych do rozwiązywania klasycznych problemów w elektrotechnice. Zostały one zastosowane do optymalizacji parametrów regulatora VSC w celu zmniejszenia strat mocy i dostrajania tych parametrów w stanach przejściowych. Wyniki rozważań zostały potwierdzone za pomocą badań symulacyjnych.
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The use of a genetic algorithm in the process of optimizing the shape of a three-dimensional periodic beam
PublicationMechanical periodic structures exhibit unusual dynamic behavior thanks to the periodicity of their structures, which can be attributed to their cellular arrangement. The source of this periodicity may result from periodic variations of material properties within their cells and/or variations in the cell geometry. The authors present the results of their studies on the optimization of physical parameters of a three-dimensional axisymetrical...
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Genetic programming extension to APF-based monocular human body pose estimation
PublicationNew method of the human body pose estimation based on a single camera 2D observation is presented, aimed at smart surveillance related video analysis and action recognition. It employs 3D model of the human body, and genetic algorithm combined with annealed particle filter for searching the global optimum of model state, best matching the object's 2D observation. Additionally, new motion cost metric is employed, considering current...
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Genetic Determinants of Vitamin D-Related Disorders; Focus on Vitamin D Receptor
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Significance of genetic variations in developmental enamel defects of primary dentition in Polish children
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Dependence of the heterosis effect on genetic distance, determined using various molecular markers
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Parameters Identification of the Flexible Fin Kinematics Model Using Vision and Genetic Algorithms
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Solving highly-dimensional multi-objective optimization problems by means of genetic gender
PublicationPaper presents a computational optimization study using a genetic gender approach for solving multi-objective optimization problems of detection observers. In this methodology the information about an individual gender of all the considered solutions is applied for the purpose of making distinction between different groups of objectives. This information is drawn out of the fitness of individuals and applied during a current parental...
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Solving highly-dimensional multi-objective optimization problems by means of genetic gender
PublicationPaper presents a computational optimization study using a genetic gender approach for solving multi-objective optimization problems of detection observers. In this methodology the information about an individual gender of all the considered solutions is applied for the purpose of making distinction between different groups of objectives. This information is drawn out of the fitness of individuals and applied during a current parental...
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Big Data Paradigm Developed in Volunteer Grid System with Genetic Programming Scheduler
PublicationArtificial intelligence techniques are capable to handle a large amount of information collected over the web. In this paper, big data paradigm has been studied in volunteer and grid system called Comcute that is optimized by a genetic programming scheduler. This scheduler can optimize load balancing and resource cost. Genetic programming optimizer has been applied for finding the Pareto solu-tions. Finally, some results from numerical...