Search results for: IFAS
-
New results on estimation bandwidth adaptation
PublicationThe problem of identification of a nonstationary autoregressive signal using non-causal estimation schemes is considered. Noncausal estimators can be used in applications that are not time-critical, i.e., do not require real-time processing. A new adaptive estimation bandwidth selection rule based on evaluation of pseudoprediction errors is proposed, allowing one to adjust tracking characteristics of noncausal estimators to unknown...
-
Building Polish space sector – from small islands of excellence to a national innovation ecosystem
PublicationIn the paper a national potential of Poland to build its space industry after joining the European Space Agency (ESA) in 2012 is assessed, based on the series of survey reports published annually by POLSA since 2016. Their methodology was based on the ESA technology tree, classifying all the space-related technical knowhow and allowed identification of the most promising strengths to exploit and shortages to challenge by policymakers...
-
Marine autonomous surface ship - control system configuration
PublicationThis paper addresses the problem of marine autonomous surface ship (MASS) control. The contribution of the paper is the development of a control system configuration, done assuming fully autonomous MASS operation under distinct operational conditions. The overview of hardware and software selection is included.
-
Very high altitude micro air vehicle deployment method
PublicationThe paper presents the original work and method for high altitude micro air vehicle deployment. The method is based on the scientific ballooning, and adapted for stratospheric flight of commercial off-the-shelf micro air vehicle in flying wing configuration. The High Altitude Micro Air Vehicle, built for this research, was deployed during a test experiment at the lower level of the stratosphere. The results of the experiment and...
-
Classification of objects in the LIDAR point clouds using Deep Neural Networks based on the PointNet model
PublicationThis work attempts to meet the challenges associated with the classification of LIDAR point clouds by means of deep learning. In addition to achieving high accuracy, the designed system should allow the classification of point clouds covering an area of several dozen square kilometers within a reasonable time interval. Therefore, it must be characterized by fast processing and efficient use of memory. Thus, the most popular approaches...
-
Intelligent Autonomous Robot Supporting Small Pets in Domestic Environment
PublicationIn this contribution, we present preliminary results of the student project aimed at the development of an intelligent autonomous robot supporting small pets in a domestic environment. The main task of this robot is to protect a freely moving small pets against accidental stepping on them by home residents. For this purpose, we have developed the mobile robot which follows a pet and makes an alarm signal when a human is approaching....
-
Variable Order Differential Models of Bone Remodelling * *This work was supported by FCT, through IDMEC, under LAETA, projects UID/EMS/50022/2013, BoneSys, joint Polish-Portuguese project Modelling and controlling cancer evolution using fractional calculus, PERSEIDS (PTDC/EMS-SIS/0642/2014) and IF/00653/2012
Publication -
Case Study on the Use of Unmanned Aerial Vehicles for the Maintenance of Ocean Engineering Facilities
PublicationThe article presents the concept of using innovative unmanned aerial vehicles (UAVs), including autonomous UAV-I for inspection activities, auxiliary and transport works in the processes of servicing large-scale ocean engineering structures in the offshore part of the sea. The proposed areas of application of UAV-I devices and key technologies determining the possibility of using these vehicles in difficult operating conditions...
-
Identification of Fast Time-varying Communication Channels Using the Preestimation Technique
PublicationAccurate identification of stochastic systems with fast-varying parameters is a challenging task which cannot be accomplished using model-free estimation methods, such as weighted least squares, which assume only that system coefficients can be regarded as locally constant. The current state-of-the-art solutions are based on the assumption that system parameters can be locally approximated by a linear combination of appropriately...
-
Intelligent monitoring the vertical dynamics of wheeled inspection vehicles
PublicationThe problem of intelligent monitoring of the vertical dynamics of wheeled inspection vehicles is addressed. With the independent MacPherson suspension system installed, the basic analysis focuses on the evaluation of the parameters of the so-called quarter car model. To identify a physically motivated continuous description, in practice, dedicated integral-horizontal filters are used. The obtained discrete model, which retains...
-
The impact of the temperament model on the behavior of an autonomous driver
PublicationBecause it is generally believed that the personality and temperament of a human driver influence his/her behavior on the road, the article presents a computational model of the temperament of an autonomous agent - a driver. First, a short review of the four ideas of Galen’s temperament in psychology is presented. Temperament traits are grouped into four other sets, one of which is chosen for implementation in the project of integration...
-
Emotion monitoring system for drivers
PublicationThis article describes a new approach to the issue of building a driver monitoring system. Actual systems focus, for example, on tracking eyelid and eyebrow movements that result from fatigue. We propose a different approach based on monitoring the state of emotions. Such a system assumes that by using the emotion model based on our own concept, referred to as the reverse Plutchik’s paraboloid of emotions, the recognition of emotions...
-
Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublicationComplexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data...
-
Cavitation-based technologies for pretreatment and processing of food wastes: Major applications and mechanisms – A review
PublicationConversion of food wastes to valuable products is an important topic for sustainable development. Feedstock hydrolysis is a stage strongly affecting the anaerobic digestion process, and resistance of food waste towards hydrolysis causes a decrease in product yield. Such as biomethane, biohydrogen, biohythane, VFAs, and lactic acids. Moreover, mass transfer is a serious limitation of transesterification for the production of biodiesel....
-
An Evaluation Engine for Dynamic Ranking of Cloud Providers
PublicationThe paper focuses on creation of an effective dynamic ranking service for IaaS, PaaS and SaaS cloud providers. It considers building a quality model for this purpose along with definition of quality measure- ment procedures. The paper discusses several techniques known from already existing price comparison engines that could be modified and adopted for comparison of cloud providers. A technique for filtering measured data is proposed,...
-
Diagnostyka Procesów i Systemów DPS`2015
PublicationKonferencję DPS’2015 zorganizowała Katedra Systemów Decyzyjnych i Robotyki na Wydziale Elektroniki Politechniki Gdańskiej wraz z gdańskim oddziałem Towarzystwa Konsultantów Polskich. Współorganizatorami były: Politechnika Warszawska i Uniwersytet Zielonogórski. Patronat nad konferencją objęły najważniejsze obszarowo krajowe instytucje naukowe: Polska Akademia Nauk, Komitet Automatyki i Robotyki, oraz Polskie Stowarzyszenie Pomiarów...
-
The effect of high pressure and sub-zero temperature on total antioxidant capacity and the content of vitamin C, fatty acids and secondary products of lipid oxidation in human milk
PublicationThe objective of this study was to compare of the effects of high pressure of 193 MPa at - 20°C and Low Temperature Long Time pasteurization (LTLT or holder pasteurization, 62,5°C; 30 min) on the content and composition of fatty acids (FAs), concentrations of secondary products of lipid oxidation (TBARS), the total antioxidant capacity (TAC), total vitamin C and ascorbic acid (AsA) content in human milk. It was shown that no significant...
-
Zbigniew Lubośny prof. dr hab. inż.
People -
Intelligent control structure for control of integrated wastewater systems.
PublicationArtykuł przedstawia podejście do tworzenia struktury sterowania zintegrowanym systemem oczyszczania ścieków (sieć kanalizacyjna- oczyszczalnia ścieków), w pełnym zakresie jego obciążeń hydraulicznych. System sterowania jest hierarchicznie zdekomponowany, tworząc wielopoziomową-wielowarstwową. Główną technologią sterowania wykorzystaną na poziomie optymalizacyjnym jest krzepkie sterowanie predykcyjne (RMPC) przy obecności niepewności...
-
Teaching Adaptive Control with DS1102 DSP Controller Board
Publication -
Control Theory Education in the Distance Education B.Eng. Studies at Warsaw University of Technology
Publication -
Safe-Guarded Agent Design Pattern for Mechatronic Systems
Publication -
Model Predictive Controller for Integrated Wastewater Treatment System
Publication -
Supervisory Control of Integrated Wastewater Treatment Systems
Publication -
Intelligent Control Structure for Control of Integrated Wastewater Systems
Publication -
Research Platform for Monitoring, Control and Security of Critical Infrastructure Systems
Publication -
Multiprocessor implementation of Parallel Multiobjective Genetic Algorithm for Optimized Allocation of Chlorination Stations in Drinking Water Distribution System - a new water quality model approach
Publication -
Neural Manoeuvre Detection of the Tracked Target in ARPA Systems
Publication -
The content of conjugated linoleic acid and vaccenic acid in the breast milk of women from Gdansk and the surrounding district, as well as in, infant formulas and follow-up formulas. Nutritional recommendation for nursing women
PublicationFatty acids are some of the most important components of human milk. Polyunsaturated fatty acids (PUFAs) are essential nutrients required for the optimal growth and development of infants, especially the central nervous system, brain and retina. AIM: To determine the conjugated linolenic acid (CLA) and vaccenic acid (VA) content of human breast milk from mothers consuming different diets, and to compare the results with CLA and...
-
Monitoring and diagnosis of quality and quantity in drinking water systems.
PublicationArtykuł przedstawia nowe podejście do inteligentnego monitorowania oraz diagnostyki Systemu Wodnego (WS) jako problem statusu, warunków operacyjnych oraz rozpoznawania zdarzeń. Oprogramowanie komputerowego systemu monitorowania i diagnostyki zawiera narzędzia dla identyfikacji modeli dyskretnych statusów oraz określenia parametrów ilości i jakości wody dla każdego statusu. Dla każdego stanu decyzje podejmowane są przy użyciu metody...
-
Estimation of wastewater treatment plant state for model predictive control of N-P remowal at medium time scale.
PublicationPrzy ograniczonych możliwościach pomiarowych estymaty stanu są potrzebne w sterowaniu optymalizującym, opartym na sterowaniu predykcyjnym, sterującym usuwaniem azotu i fosforu, w biologicznej oczyszczalni ścieków. Optymalizator MPC do implementacji sprzężenia zwrotnego z obiektu potrzebuje tych estymat. Dodatkowo aktualizowane muszą być parametry modelu Gray-Box wykorzystywanego w module MPC. Wtedy estymaty stanu są używane przez...
-
Bounding approach to parameter estimation without priori knowledge on model structure error.
PublicationArtykuł przedstawia estymację parametrów modelu ARMA (Autoregresive moving average) metodą zbiorów ograniczonych. Założono brak wiedzy na temat ograniczeń na błąd struktury modelu lub, że wiedza ta jest bardzo konserwatywna. W celu redukcji tego konserwatyzmu, zaproponowano koncepcje modelu punktowo-parametrycznego. W podejściu tym zakłada się istnienie zbioru parametrów modelu oraz błędu struktury odpowiadających każdej z trajektorii...
-
Effect of microwave and convection heating on selected nutrients of human milk
PublicationThe aim of this study was to determine the influence of the microwave heating method (MWH) on selected determinants of the nutritional value of human milk (HM) and compare to the effect exerted by the standard convection heating (CH) method, including holder pasteurization (HoP). It was showed that using MWH under conditions assumed to ensure microbiological safety, changes in the level of the nutrients were not observed. In these...
-
Mieczysław Brdyś prof. dr hab. inż.
People -
Synergism of floated paperboard sludge cake /sewage sludge for maximizing biomethane yield and biochar recovery from digestate: A step towards circular economy
PublicationAnaerobic digestion of floated paperboard sludge (PS) cake suffers from volatile fatty acids (VFAs) accumulation, nutrient unbalanced condition, and generation of digestate with a risk of secondary pollution. To overcome these drawbacks, sewage sludge (SS) was added to PS cake for biogas recovery improvement under a co-digestion process followed by the thermal treatment of solid fraction of digestate for biochar production. Batch...
-
Dissolved oxygen tracking and control of blowers at fast time scale.
PublicationNapowietrzanie jest bardzo ważnym i drogim procesem w oczyszczalni ścieków. Tlen jest podstawowym składnikiem dla procesów biologicznych. System napowietrzania jest skomplikowanym, hybrydowym, nieliniowym, dynamicznym systemem z dynamiką szybszą w porównaniu z wewnętrzną dynamiką tlenu rozpuszczonego w reaktorze biologicznym. Obecnie stosowane systemy sterowania są dalekie od zadowalających. Koszt pompowania powietrza do reaktora...
-
Anna Witkowska dr hab.
PeopleAnnaWitkowska holds an M.Sc. in mathematics and computer science from the University of Gdańsk, Poland in 2001. She received her Ph.D. degree from the Technical University of Warsaw in 2011, and the D.Sc. (habilitation) degree in automation, electronic and electrical engineering from the Technical University of Gdańsk, in 2020. Currently she is a professor of the Gdańsk University of Technology, Faculty of Electrical and Control...
-
Introducing a Computational Method to Retrofit Damaged Buildings under Seismic Mainshock-Aftershock Sequence
PublicationRetrofitting damaged buildings is a challenge for engineers, since commercial software does not have the ability to consider the local damages and deformed shape of a building resulting from the mainshock record of an earthquake before applying the aftershock record. In this research, a computational method for retrofitting of damaged buildings under seismic mainshock-aftershock sequences is proposed, and proposed computational...
-
Degradation of xylose using a microbial fuel cell
PublicationIt is generally known, that many kind of microorganisms are capable of using carbohydrates as a source of carbon and energy in an environment. The biodegradation process of monosaccharides from pentoses (in this case- racemic mixture of D - and L – xylose) is an immense opportunity for an entire reduction of biological contamination to neutral compounds through MFC. The process is occurred in a single-chamber MFC, which is contained...
-
Viability of fruit seed oil O/W emulsions in personal care products
PublicationThe use of fruit seed oils in personal care products is of significance to both their function and image. Poland is an important processor of fruit products within the EU, and thus has a large availability of seeds from domestic fruits, which are normally considered to be a waste material or feed for livestock. Unfortunately, current literature is scarce of the suitability of these oils for topical dermatological use in the form...
-
Supervisory control of integrated wastewater treatment systems.
PublicationSterowanie zintegrowanym systemem oczyszczania ścieków (sieć kanalizacyjna- oczyszczalnia ścieków), w pełnym zakresie jego obciążeń wymaga zastosowania zaawansowanych algorytmów sterowania optymalizującego. System sterowania jest hierarchicznie zdekomponowany, tworząc wielopoziomową-wielowarstwową. Główną technologią sterowania sterowanie predykcyjne (MPC). Nie jest możliwe wystarczająco efektywne sterowanie takim systemem we wszystkich...
-
Softly switched model predictive control for control of integratedwastewater treatment system at medium time scale.
PublicationW przypadku gdy system jest sterowany za pomocą jednej, uniwersalnej strategii sterowania w pełnym zakresie jego obciążeń, powstają poważne trudności w znalezieniu optymalnego sterowania. W celu jak najlepszego dopasowania strategii sterowania do panujący warunków, zdefiniowano trzy stany operacyjne: normalny, zakłóceniowy oraz awaryjny. Dla tych stanów zaprojektowano odpowiednie strategie sterowania. W związku z tym pojawia się...
-
Set-Bounded joined parameter and state estimation for model predictive control of integrated wastewater treatment plant systems at medium time scale.
PublicationW artykule opisano moduł łącznej estymacji w postaci zbiorów ograniczonych (ang. set-bounded) parametrów i stanu systemu dla potrzeb sterowania predykcyjnego zintegrowanym systemem ściekowym w średniej skali czasu. Jest to jeden ze składowych elementów Inteligentnej Hierarchicznej Struktury Sterowania opracowanej w celu pokonania następujących problemów, które występują w kontrolowanym systemie: różne skale czasowe procesów, silnie...
-
Integrated Experimental and Theoretical Approach for Efficient Design and Synthesis of Gold-Based Double Halide Perovskites
PublicationApplied cutting-edge electronic structure and phonon simulations provide a reliable knowledge about the stability of perovskite structures and their electronic properties, which are crucial for design of effective nanomaterials. Gold is one of the exceptional elements, which can exist both as a monovalent and a trivalent ion in the B site of a double perovskite such as A2BI BIIIX6. However, until now, electronic properties of Cs2AuI AuIIIX6...
-
Image Classification Based on Video Segments
PublicationIn the dissertation a new method for improving the quality of classifications of images in video streams has been proposed and analyzed. In multiple fields concerning such a classification, the proposed algorithms focus on the analysis of single frames. This class of algorithms has been named OFA (One Frame Analyzed).In the dissertation, small segments of the video are considered and each image is analyzed in the context of its...
-
Model predictive controller for integrated wastewater treatment systems.
PublicationSterowanie optymalizujace systemem oczyszczania ścieków (WWTS) pozwala na zmniejszenie kosztów operacyjnych przy jednoczesnym spełnieniu narzuconych ograniczeń na wypływające ścieki, jednak wymaga zaawansowanych technologii sterowania. Sterowanie predykcyjne z modelem (MPC) jest bardzo użyteczną technologią sterowania takimi systemami. MPC doskonale radzi sobie z obecnością ogrniczeń na wielkości wyjściowe, wielowymiarowością problemu...
-
Probabilistic assessment of SMRFs with infill masonry walls incorporating nonlinear soil-structure interaction
PublicationInfill Masonry Walls (IMWs) are used in the perimeter of a building to separate the inner and outer space. IMWs may affect the lateral behavior of buildings, while they are different from those partition walls that separate two inner spaces. This study focused on the seismic vulnerability assessment of Steel Moment-Resisting Frames (SMRFs) assuming different placement of IMWs incorporating nonlinear Soil-Structure Interaction (SSI)....
-
Seismic performance evaluation of steel buckling-restrained braced frames including SMA materials
PublicationThe permanent deformation of the building after seismic excitations can be determined by the Maximum Residual Interstory Drift Ratio (MR-IDR), which may be used for measuring the damage states. Low-post yield stiffness of the steel buckling-restrained braced frame (BRBF) makes this system vulnerable to large MR-IDR after a severe earthquake event. To overcome this issue, this paper investigates the seismic limit state performances...
-
Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
-
Electrochemical oxidation of PFOA and PFOS in landfill leachates at low and highly boron-doped diamond electrodes
PublicationPolyfluorinated alkyl substances (PFASs) may reach landfill leachates (LLs) due to improper waste management. In this study perfluorooctanoate (PFOA) and perfluorooctane sulphonate (PFOS) were used as representatives of PFASs in the decomposition on boron-doped diamond electrodes (BDDs) with high (10k ppm) and low (0.5k ppm) boron doping concentrations. The result shows that although better COD removal efficacies are obtained on...