Wyniki wyszukiwania dla: ADAPTIVE PROJECT MANAGEMENT - MOST Wiedzy

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Wyniki wyszukiwania dla: ADAPTIVE PROJECT MANAGEMENT

Wyniki wyszukiwania dla: ADAPTIVE PROJECT MANAGEMENT

  • Aneta Łuczkiewicz prof. dr hab. inż.

    Prowadzę badania nad zdolnościami adaptacyjnymi mikroorganizmów oraz możliwością ich wykorzystania do wspomagania procesów technologicznych. Łączę inżynierię środowiska z elementami inżynierii biomedycznej i materiałowej. Interesują mnie nowatorskie metody detekcji mikroorganizmów istotnych klinicznie w środowisku wodnym (tzw. epidemiologia oparta na ściekach) oraz zaawansowane i praktyczne rozwiązania w sektorze gospodarki wodnej....

  • Kamila Klimaszewska dr inż.

    Urodziła się w Warszawie (1979).W 1998 roku ukończyła I Liceum Ogólnokształcące im. Z. Krasińskiego w Ciechanowie i rozpoczęła studia na Wydziale Chemicznym Politechniki Gdańskiej. Po ich ukończeniu w 2003 rozpoczęła studia doktoranckie, uzyskując w 2008 roku stopień doktora nauk chemicznych w zakresie chemii (rozprawa doktorska „Osady atmosferyczne jako wskaźnik oceny stopnia zanieczyszczenia powietrza atmosferycznego”). W 2005...

  • Management and economic of engineer projects

    Kursy Online
    • A. Ossowska

    Lectures  - 05 October-30 November, 2023 1. Project management: Engineers, projects, management, planning and scheduling, personnel and organizational, team building, project control, estimating and ordering. 2. Team building: personality types, team effectiveness. 3. Project management: WBS, Gantt, Earned Value Method, critical path, risk management. 4. Economic Engineering: Establishing economic equivalence, Interest: cost...

  • Krzysztof Redlarski dr inż.

    Krzysztof Redlarski jest adiunktem w Katedrze Zastosowań Informatyki w Zarządzaniu na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Absolwent Wydziału Elektrotechniki i Automatyki, gdzie ukończył studia magisterskie. W 2013 roku uzyskał stopień naukowy doktora nauk ekonomicznych w zakresie nauk o zarządzaniu. Od początku swojej pracy na Politechnice Gdańskiej jego zainteresowania naukowe skupiają się wokół problematyki...

  • Aleksandra Parteka dr hab. inż.

    About me: I am an associate professor and head of doctoral studies at the Faculty of Management and Economics, Gdansk University of Technology (GdanskTech, Poland).  I got my MSc degree in Economics from Gdansk University of Technology (2003) and Universita’ Politecnica delle Marche (2005), as well as MA degree in Contemporary European Studies from Sussex University (2006, with distinction).  I received my PhD in Economics...

  • Reshaping the Gdańsk Shipyard—The Birthplace of the Solidarity Movement. The Complexity of Adaptive Reuse in the Heritage Context

    Publikacja

    The Gdańsk Shipyard—the birthplace of the Solidarity movement—is host to a unique example of a multi-layered brownfield redevelopment project, an area that is burdened by a complex history, overlapping heritage, and multiple memories. These circumstances require an integrated yet differentiated approach to the site’s heritage and make the creation of one homogeneous narration of its future impossible. At the same time, the size...

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  • Management Psychology 2022

    Kursy Online
    • P. Ziemiański

    During the Management Psychology course, the focus is placed on how psychological science, research, and knowledge can support management. The course topics include elements pertaining to individual differences, decision-making, leadership, group work, stress management, and more. Course participants have to take a mid-term test and submit the final project at the end of the semester. During our first meeting, you have learned...

  • A simple way of increasing estimation accuracy of generalized adaptive notch filters

    Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. It is shown that frequency biases, which arisein generalized adaptive notch filtering algorithms, can be significantly reduced by incorporating in the adaptive loop an appropriately chosen decision delay. The resulting performance...

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  • Anna Baj-Rogowska dr

    Anna Baj-Rogowska zatrudniona jest na stanowisku adiunkta w Katedrze Informatyki w Zarządzaniu (Politechnika Gdańska, Wydział Zarządzania i Ekonomii). Jej wyższa edukacja związana jest z Uniwersytetem Gdańskim, gdzie ukończyła magisterskie studia informatyczne, studia doktoranckie i następnie uzyskała stopień naukowy doktora nauk ekonomicznych w zakresie nauk o zarządzaniu (Katedra Informatyki Ekonomicznej na Wydziale Zarządzania...

  • Edyta Fila-Lepper mgr inż.

  • Waldemar Dzienisz mgr inż.

  • Generalized adaptive comb filter with improved accuracy and robustness properties

    Publikacja

    Generalized adaptive comb lters can be used to identify/track parameters of quasi-periodically varying systems.In a special, signal case they reduce down to adaptive comblters, applied to elimination or extraction of nonstationarymulti-harmonic signals buried in noise. We proposea new algorithm which combines, in an adaptive way, resultsyielded by several, simultaneously working generalizedadaptive comb lters. Due to its highly...

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  • Reliable EM-driven size reduction of antenna structures by means of adaptive penalty factors

    Miniaturization has become of paramount importance in the design of modern antenna systems. In particular, compact size is essential for emerging application areas such as internet of things, wearable and implantable devices, 5G technology, or medical imaging. On the other hand, reduction of physical dimensions generally has a detrimental effect on antenna performance. From the perspective of numerical optimization, miniaturization...

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  • Management Strategy for Seaports Aspiring to Green Logistical Goals of IMO: Technology and Policy Solutions

    Publikacja
    • T. T. Le
    • H. P. Nguyen
    • K. Rudzki
    • L. Rowiński
    • V. D. Bui
    • T. H. Truong
    • H. C. Le
    • N. D. K. Pham

    - Polish Maritime Research - Rok 2023

    Recently, because of serious global challenges including the consumption of energy and climate change, there has been an increase in interest in the environmental effect of port operations and expansion. More interestingly, a strategic tendency in seaport advancement has been to manage the seaport system using a model which balances environmental volatility and economic development demands. An energy efficient management system...

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  • BUILT IN PERFORMANCE EVALUATION FOR AN ADAPTIVE NOTCH FILTER

    Publikacja

    The problem of estimating instantaneous frequency of a non- stationary complexsinusoid (cisoid) buried in wideband no ise is considered. The proposed approach extends adaptive notc h filtering algorithm with a nontrivial performance assessme nt mechanism which can be used to optimize frequency tracking performance of the adaptive filter. Simulation results confi rm that the proposedextension allows one to improveaccuracyo f frequency...

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  • Supervised Model Reference Adaptive Control of Chlorine Residuals in Water Distribution Systems

    Publikacja

    Control of integrated quality and quantity in Drinking Water Distribution Systems within recently proposed hierarchical framework is considered in the paper. A supervised nonlinear Indirect Model Reference Adaptive Controller is derived for the lower control level of the control structure to operate as the fast feedback controller of chlorine residuals in the monitored nodes. The major supervisor role is to manage switching between...

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  • Anna Zielińska dr

    Od 2016 r. rozpoczęła pracę na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Od 2018 r. członek rady International Project Management Association Young Crew Polska. Autorka licznych publikacji naukowych zakresu zarządzania antykryzysowego, zarządzania projektami i programami zdrowotnymi oraz doskonalenia podmiotów gospodarczych. Zainteresowania naukowo-badawcze obejmują zarządzanie programami i projektami, nowoczesne...

  • Generalized adaptive notch filters with frequency debiasing for tracking of polynomial phase systems

    Publikacja

    Generalized adaptive notch filters are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. For general patterns of frequency variation the generalized adaptive notch filtering algorithms yield biased frequency estimates. We show that when system frequencies change slowly in a smooth way, the estimation bias can...

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  • Adaptive Multiplex Resource Allocation Method for DAB+ Broadcast System

    Publikacja

    - Rok 2017

    In this paper an adaptive multiplex resource allocation method for the DAB+ broadcast system is presented. An analysis of content transmitted over different radio programs with respect to their profile is discussed. Simulation results of an adaptive multiplexer, as well as the technological demonstrator, fully compatible with the DAB+ standard, are described. The concept is verified by a subjective quality assessment study of real-time...

  • An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning

    Publikacja

    - Rok 2022

    This paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader's behavior must align for the best learning effects....

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  • An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning

    Publikacja

    - Rok 2023

    This paper investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organizational culture results in better mistake management and thus better organizational learning, (2) Effective organizational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning effects....

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  • A self-optimization mechanism for generalized adaptive notch smoother

    Publikacja

    Tracking of nonstationary narrowband signals is often accomplished using algorithms called adaptive notch filters (ANFs). Generalized adaptive notch smoothers (GANSs) extend the concepts of adaptive notch filtering in two directions. Firstly, they are designed to estimate coefficients of nonstationary quasi-periodic systems, rather than signals. Secondly, they employ noncausal processing, which greatly improves their accuracy and...

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  • Generalized adaptive notch smoothing revisited

    The problem of identification of quasi-periodically varying dynamic systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It is shown that the accuracy of parameter estimates can be significantly increased if the results obtained from GANF are further processed using a cascade of appropriately designed filters. The resulting generalized adaptive notch smoothing (GANS) algorithm...

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  • Anna Wnuk mgr

  • Katarzyna Machulska mgr

  • Adaptive Hyperparameter Tuning within Neural Network-based Efficient Global Optimization

    Publikacja

    - Rok 2024

    In this paper, adaptive hyperparameter optimization (HPO) strategies within the efficient global optimization (EGO) with neural network (NN)-based prediction and uncertainty (EGONN) algorithm are proposed. These strategies utilize Bayesian optimization and multiarmed bandit optimization to tune HPs during the sequential sampling process either every iteration (HPO-1itr) or every five iterations (HPO-5itr). Through experiments using...

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  • New Algorithms for Adaptive Notch Smoothing

    The problem of extraction/elimination of a nonstationary complex sinusoidal signal buried in noise is considered. This problem is usually solved using adaptive notch filtering (ANF)algorithms. It is shown that accuracy of signal estimation can be increased if the results obtained from ANF are further processed using a cascade of appropriately designed filters. The resulting adaptive notch smoothing (ANS) algorithms can be employed...

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  • Generalized adaptive notch smoothers for real-valued signals and systems

    Systems with quasi-periodically varying coefficients can be tracked using the algorithms known as generalized adaptive notch filters (GANFs). GANF algorithms can be considered an extension, to the system case, of classical adaptive notch filters (ANFs). We show that estimation accuracy of the existing algorithms, as well as their robustness to the choice of design parameters, can be considerably improved by means of compensating...

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  • Generalized adaptive comb filters/smoothers and their application to the identification of quasi-periodically varying systems and signals

    Publikacja

    The problem of both causal and noncausal identification of linear stochastic systems with quasiharmonically varying parameters is considered. The quasi-harmonic description allows one to model nonsinusoidal quasi-periodic parameter changes. The proposed identification algorithms are called generalized adaptive comb filters/smoothers because in the special signal case they reduce down to adaptive comb algorithms used to enhance...

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  • Considerations of Adaptive Digital Communications in Underwater Acoustic Channel

    Publikacja

    Down-link communication (DLC) and air transportable communication (ATAC) buoys as well as autonomous underwater vehicles (AUV) use acoustic links for gathering oceanographic data from underwater monitoring systems. The underwater channel propagation conditions are diverse in nature and require a special adaptive approach to the communication system design. The article presents a methodology for the communication systems design,...

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  • Non-Adaptive Speed and Position Estimation of Doubly-Fed Induction Generator in Grid-Connected Operations

    The nonadaptive speed and position estimation scheme for a doubly-fed induction generator (DFIG) is presented in this article. The observer structure is based on the extension of the mathematical model of DFIG to the introduced H vector. Based on the defined H vector, the nonadaptive position and speed estimation is proposed. The Lyapunov method is extended to the practical stability theorem to stabilize the structure. The classic...

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  • Analysis the Parameters of the Adaptive Controller for Quality Control of Dissolved Oxygen Concentration

    The wastewater treatment plant can be considered a dynamic large scale complex system, in which the most important control parameter is the dissolved oxygen concentration in the aerobic zone. The air is supplied to this zone by the aeration system. In the paper, both the sequencing batch reactor and the aeration system are modelled and used as plant of control performed by the cascade nonlinear adaptive control system extended...

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  • Selected dynamic properties of adaptive proportional observer of induction motor state variables

    Publikacja

    - Rok 2016

    This paper presents problems related to the design and the stability of adaptive proportional observer which is used for estimation of magnetic flux and motor speed in sensorless control systems of induction motor. The gain matrix of the observer was chosen by genetic algorithm and alternatively by pole placement method. It has been shown that adaptive proportional observer is stable if the...

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  • The adaptive backstepping control of PMSM supplied by current source inverter for the field weakening region

    The sensorless control system of permanent magnet synchronous motor PMSM supplied by current source inverter for field weakening operation is presented in this paper. The adaptive backstepping control system and the backstepping speed observer are presented. The control system is based on multi-scalar variables. The control variables are: dc-link voltage and the output current vector pulsation. The control system was named voltage...

  • Integrating modelling, simulation and data management tools to create a planning support system for the improvement of air quality by urban planning solutions

    Publikacja

    - Rok 2023

    The urbanization pressure requires urban planners, designers, and policy makers to be more responsive to the challenges related to improving the quality of the urban environment and the living conditions of the inhabitants. One of the many environmental issues that need to be taken into account is urban air pollution. As the process of urban ventilation and air pollution dis-persion is significantly affected by the urban layout,...

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  • Adaptive traffic optimization using Variable Speed Limits; Adaptacyjna optymalizacja ruchu drogowego przy pomocy zmiennych ograniczeń prędkości

    Publikacja

    - Rok 2020

    Variable speed limits (VSL) is an intelligent transportation system (ITS) solution for traffic management. The speed limits can be changed dynamically in order to adapt to traffic, weather, or road surface conditions. This paper presents an approach for such an adaptive traffic control where the primary goal is to ensure traffic safety and efficiency of the traffic control system (fast response to dynamically changing traffic,...

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  • Non-Adaptive Rotor Speed Estimation of Induction Machine in an Adaptive Full-Order Observer

    In the sensorless control system of an induction machine, the rotor speed value is not measured but reconstructed by an observer structure. The rotor speed value can be reconstructed by the classical adaptive law with the integrator. The second approach, which is the main contribution of this paper, is the non-adaptive structure without an integrator. The proposed method of the rotor speed reconstruction is based on an algebraic...

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  • On tracking properties of real-valued generalized adaptive notch filters

    Generalized adaptive notch filters (GANFs) are used for identification/tracking of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The paper presents results of local performance analysis of a real-valued GANF algorithm, i.e., algorithm designed to track parameters of a real-valued system. This is an extension of the previous work which focused...

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  • Corrupted speech intelligibility improvement using adaptive filter based algorithm

    Publikacja

    A technique for improving the quality of speech signals recorded in strong noise is presented. The proposed algorithmemploying adaptive filtration is described and additional possibilities of speech intelligibility improvement arediscussed. Results of the tests are presented.

  • Adaptive Method of Raster Images Compression and Examples of Its Applications in the Transport Telematic Systems

    Publikacja

    The paper presents a concept and exemplary application of an adaptive method of compression of raster images which may be applied, i.a. in ITS systems. The described method allows to improve the efficiency of systems belonging to ITS category, which require transmission of large volumes of image data through telecommunications networks. The concept of the adaptive method of compression of raster images described in the paper uses...

  • Anita Wiśniewska dr inż.

  • Application of Diversity Combining with RLS Adaptive Filtering in Data Transmission in a Hydroacoustic Channel

    Publikacja

    - SENSORS - Rok 2020

    When transmitting data in a hydroacoustic channel under difficult propagation conditions, one of the problems is intersymbol interference (ISI) caused mainly by the effect of multipath propagation. This phenomenon leads to a decrease in transmission parameters, and sometimes completely prevents it. Therefore, we have made an attempt to use diversity combining with Recursive Least Squares (RLS) adaptive filtering to improve the...

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  • Self-tuning adaptive frequency tracker

    Publikacja

    An automatic gain tuning algorithm is proposed for a recently introduced adaptive notch filter. Theoretical analysis and simulations show that, under Gaussian random-walk type assumptions, the proposed extension is capable of adjusting adaptation gains of the filter so as to minimize the mean-squared frequency tracking error without prior knowledge of the true frequency trajectory. A simplified one degree of freedom version of...

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  • Metodyka wdrażania Zarządzania Wiekiem w Przedsiebiorstwach i Organizacjach Publicznych uczestniczących w projekcie Best Agers Lighthouses

    Publikacja

    Celem artykułu jest przedstawienie metodyki wdrażania zarządzania wiekiem w małych i średnich przedsiębiorstwach i organizacjach publicznych Regionu Morza Bałtyckiego, opracowanej w ramach projektu Best Agers Lighthouses –Strategic Age Management for SME in the Baltic Sea Region. W artykule opisano m.in. sekwencję kluczowych działań podjętych podczas procesu wdrażania oraz strukturę podmiotową wspierającą współpracę uczestników...

  • Adaptive Identification of Underwater Acoustic Channel with a Mix of Static and Time-Varying Parameters

    Publikacja

    - Rok 2022

    We consider the problem of identification of communication channels with a mix of static and time-varying parameters. Such scenarios are typical, among others, in underwater acoustics. In this paper, we further develop adaptive algorithms built on the local basis function (LBF) principle resulting in excellent performance when identifying time-varying systems. The main drawback of an LBF algorithm is its high complexity. The subsequently...

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  • Adaptive dynamic control allocation for over-actuated dynamic positioning system based on backstepping method in case of thruster faults

    The objective of the research considered in this paper is dynamic positioning of a nonlinear over-actuated marine vessel in the presence of limited information about thruster forces. First, the adaptive backstepping method is used to estimate the input matrix which will compensate partial loss of actuator effectiveness in the presence of actuator dynamics. Then, the adaptive commanded virtual forces and moment are allocated into...

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  • Adaptive CAD-Model Construction Schemes

    Two advanced surrogate model construction techniques are discussed in this paper. The models employ radial basis function (RBF)interpolation scheme or artificial neural networks (ANN) with a new training algorithm. Adaptive sampling technique is applied withrespect to all variables. Histograms showing the quality of the models are presented. While the quality of RBF models is satisfactory, theperformance of the ANN models obtained...

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  • Adaptive dynamic control allocation for dynamic positioning of marine vessel based on backstepping method and sequential quadratic programming

    It is generally assumed in dynamic positioning of over-actuated marine vessels that the control effectiveness matrix (input matrix) is known and constant, or, in case of fault information, it is estimated by the fault detection and diagnosis system. The purpose of the study is to develop the adaptive dynamic positioning control system for an over-actuated marine vessel in the presence of uncertainties and with emphasis on limited...

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  • Baltic Smart Asset Management - Training Module

    Kursy Online
    • A. Rogala
    • P. Rybarczyk

    Baltic Smart Asset Management is an international project co-financed by the funds from Interreg South Baltic Programme 2014-2020. The aim of the project is to develop methods, transnational collaboration processes and knowledge about Smart Asset Management (SAM) for District Heating (DH) sector. The training module will help to spread the professional knowledge on new solutions and applications of SAM methods to promote data-driven...

  • Fully Adaptive Savitzky-Golay Type Smoothers

    Publikacja

    The problem of adaptive signal smoothing is consid-ered and solved using the weighted basis function approach. Inthe special case of polynomial basis and uniform weighting theproposed method reduces down to the celebrated Savitzky-Golaysmoother. Data adaptiveness is achieved via parallel estimation.It is shown that for the polynomial and harmonic bases andcosinusoidal weighting sequences, the competing signal estimatescan be computed...

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