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Wyniki wyszukiwania dla: DECISIONAL DNA (DDNA) SET OF EXPERIENCE KNOWLEDGE STRUCTURE (SOEKS) VISUAL CONTENT REPRESENTATION COGNITIVE SYSTEMS DEEP LEARNING
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Dataset Characteristics and Their Impact on Offline Policy Learning of Contextual Multi-Armed Bandits
PublikacjaThe Contextual Multi-Armed Bandits (CMAB) framework is pivotal for learning to make decisions. However, due to challenges in deploying online algorithms, there is a shift towards offline policy learning, which relies on pre-existing datasets. This study examines the relationship between the quality of these datasets and the performance of offline policy learning algorithms, specifically, Neural Greedy and NeuraLCB. Our results...
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Particulate Matter Production of Small Heat Source Depending on the Bark Content in Wood Pellets
PublikacjaWood pellets as biofuel are more and more used in small heat sources in Europe. Standard wood pellets are produced from wood sawdust without bark. The paper deals about the impact of bark in wood pellets on their properties and combustion process. Special attention in this work is paid to production of particulate matter during combustion of wood pellets depending on bark content. There were experimentally produced spruce wood...
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C-1311 (Symadex), a potential anti-cancer drug, intercalates into DNA between A and G moieties. NMR-derived and MD-refined stereostructure of the d(GAGGCCTC) 2 :C-1311 complex
PublikacjaImidazoacridinone C-1311 (Symadex®) is an antitumor agent which has been recommended for Phase II clinical trials a few years ago. Previously, it was shown experimentally that during the initial stage of its action C-1311 forms stable intercalation complexes with DNA duplexes. Herein, a NMR-derived stereostructure of d(GAGGCCTC)2:C-1311 complex was reported. The ligand was found locating itself between A and G moieties, forming...
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Multidisciplinary Open System Transferring Knowledge for R2B Development
PublikacjaDespite many efforts, there is still a serious problem in transferring knowledge from research to business. The problem is especially visible in Poland – the cooperation of R2B is ineffective. We are trying to solve this problem using some IT support. The manuscript presents some solutions developed at the Gdańsk University of Technology. In particular, the platform called “MOST Knowledge” is deeply described. Its layer architecture,...
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Obrazy akustyczne dna morskiego w wybranych akwenach Bałtyku
PublikacjaMetody akustyczne obserwacji obszarów podwodnych mórz i oceanów stosowane są od początku XX wieku. Początkowo były to echosondy nawigacyjne najczęściej składające się z pojedynczych przetworników. Następnie zaczęto stosować sonary do wykrywania obiektów stanowiących przeszkody nawigacyjne pod woda, które miały głównie zastosowanie w marynarce wojennej. W drugiej połowie XX wieku rozpoczęto konstruowanie urządzeń akustycznych, których...
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Real and imaginary motion classification based on rough set analysis of EEG signals for multimedia applications
PublikacjaRough set-based approach to the classification of EEG signals of real and imaginary motion is presented. The pre-processing and signal parametrization procedures are described, the rough set theory is briefly introduced, and several classification scenarios and parameters selection methods are proposed. Classification results are provided and discussed with their potential utilization for multimedia applications controlled by the...
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Lignocellulosic waste biosorbents infused with deep eutectic solvents for biogas desulfurization
PublikacjaThis paper introduces an innovative method for treating biogas streams, employing lignocellulosic biosorbents infused with environmentally friendly solvents known as deep eutectic solvents (DES). The primary focus of this study was the elimination of volatile organosulfur compounds (VSCs) from model biogas. Biosorbents, including energetic poplar wood, antipka tree, corncobs, and beech wood, were used, each with varying levels...
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SYNTHESIZING MEDICAL TERMS – QUALITY AND NATURALNESS OF THE DEEP TEXT-TO-SPEECH ALGORITHM
PublikacjaThe main purpose of this study is to develop a deep text-to-speech (TTS) algorithm designated for an embedded system device. First, a critical literature review of state-of-the-art speech synthesis deep models is provided. The algorithm implementation covers both hardware and algorithmic solutions. The algorithm is designed for use with the Raspberry Pi 4 board. 80 synthesized sentences were prepared based on medical and everyday...
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Quenching of bright and dark excitons via deep states in the presence of SRH recombination in 2D monolayer materials
PublikacjaTwo-dimensional (2D) monolayer materials are interesting systems due to an existence of optically non-active dark excitonic states. In this work, we formulate a theoretical model of an excitonic Auger process which can occur together with the trap-assisted recombination in such 2D structures. The interactions of intravalley excitons (bright and spin-dark ones) and intervalley excitons (momentum-dark ones) with deep states located...
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Measurements of Spectral Spatial Distribution of Scattering Materials for Rear Projection Screens used in Virtual Reality Systems
PublikacjaRapid development of computing and visualisation systems has resulted in an unprecedented capability to display, in real time, realistic computer-generated worlds. Advanced techniques, including three-dimensional (3D) projection, supplemented by multi-channel surround sound, create immersive environments whose applications range from entertainment to military to scientific. One of the most advanced virtual reality systems are CAVE-type...
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Knowledge Management Critical Success Factors and the Innovativeness of KIBS Companies
PublikacjaThe purpose of this paper is to examine the influence of two critical success factors for knowledge management (i.e. leadership and support by the management, motivational practices) on the innovativeness of knowledge-intensive business service (KIBS) companies in the SMEs sector. A sample of 400 companies (KIBS SMEs) located in the Pomeranian District in Poland was selected. The questionnaire was designed to measure knowledge...
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The Boltzmann sequence-structure channel
PublikacjaWe rigorously study a channel that maps binary sequences to self-avoiding walks in the two-dimensional grid, inspired by a model of protein statistics. This channel, which we also call the Boltzmann sequence-structure channel, is characterized by a Boltzmann/Gibbs distribution with a free parameter corresponding to temperature. In our previous work, we verified experimentally that the channel capacity has a phase transition for...
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Challenges and Possibilities of Deep Eutectic Solvent-Based Membranes
PublikacjaDeep eutectic solvents (DES) are a category of a new class of solvents that can overcome some of the main drawbacks of typical solvents and ionic liquids (ILs). DES have been widely investigated and applied by the research community in several applications since their invention. Over the past years, the use of DES has been directed to the production of new materials and items for new products and processes. This is the case for...
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Molecular properties with dual basis set methods
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Knowledge management strategies in KIBS companies: A preliminary analysis
PublikacjaPurpose – The aim of this paper is to perform a preliminary analysis concerning the detection and examination of two possible opposite approaches to KM planning which will be referred to as deliberate and emergent KM strategies. The goal is to enhance our understanding of the variety of features KM strategies possess and, accordingly, to formulate categorisations that are in line with such characteristics. Design/methodology/approach...
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Modyfikacje polimeraz DNA jako rozwiązania problemów w reakcjach PCR
PublikacjaReakcja PCR już od wielu lat jest podstawowym narzędziem stosowanym w biotechnologii molekularnej. Nadal napotykamy jednak liczne problemy podczas jej przeprowadzania związane z trudnymi matrycami, obecnością inhibitorów itp. Optymalizacja reakcji PCR jest więc niezbędna w celu poprawy wyników. Jednym z rozwiązań tych problemów może być modyfikowanie polimeraz DNA. W powyższym artykule opisano problemy i rozwiązania zależne polimerazy...
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Critical Success Factors for Knowledge Management in SMEs in the KIBS Sector
PublikacjaThe purpose of this paper is to examine knowledge management practices and critical success factors (CSFs) for their introduction in small and medium-sized enterprises (SMEs) in the knowledge-intensive business services (KIBS) sector. Methodology: The paper is based on the results of an exploratory qualitative survey involving owners and managers of small and medium-sized companies operating in the KIBS sector. In the survey, eight...
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Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain
PublikacjaAbstract—Information-centric networks struggle with content poisoning attacks (CPAs), especially their stronger form called Fake Data CPA, in which an intruder publisher uploads content signed with stolen credentials. Following an existing graphinfection based approach leveraging the constrained time when stolen credentials are useful, we design a blockchain-based mitigation scheme for Named Data Networking architectures. We postulate...
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Deep convolutional neural network for predicting kidney tumour malignancy
PublikacjaPurpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...
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The influence of the substrate temperature on the preparation of DNA films for studies under vacuum conditions
PublikacjaExperiments were carried out to determine the dependence of the physical form of supercoiled DNA films on the initial temperature of the substrate. Such films are often used in irradiation experiments involving low energy particles, like electrons or photons. In order to obtain absolute values for cross sections for such experiments, the spatial distribution of the sample in the film has to be well estimated. These investigations...
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Deep neural networks for human pose estimation from a very low resolution depth image
PublikacjaThe work presented in the paper is dedicated to determining and evaluating the most efficient neural network architecture applied as a multiple regression network localizing human body joints in 3D space based on a single low resolution depth image. The main challenge was to deal with a noisy and coarse representation of the human body, as observed by a depth sensor from a large distance, and to achieve high localization precision....
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The influence of cultivation conditions on the myrosinase activity and glucosinolate content in white cabbage
PublikacjaIn the process of biofumigation typically natural compounds present in Brassicaceae family are used to combat pests and protect crops. Glucosinolates, sulfur-containing secondary metabolites found in Brassica plants, are hydrolized by the enzyme myrosinase (β-thioglucosidase, EC 3.2.3.1) with the liberation of degradation products such as isothiocyanates, nitriles, thiocyanates and epithionitriles. Isothiocyanates are the most...
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Model of management of knowledge bases in the information technology evaluation environment
PublikacjaThe paper presents the model of management of knowledge bases in multi-agent system for evaluation of information technologies (IT_MAS). Such system is being developed in Gdansk Uni-versity of Technology by Information Technology Management Team. Multi-agent system is supposed to support manager level specialists during decision processes when there is identified need to buy or change any information technology. The main goal of...
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Knowledge Exchange Between KIBS Firms and Their Clients: Case Study Analysis
PublikacjaPurpose: This paper aims to analyse knowledge exchange between KIBS firms and their clients, and their potential determinants (e.g. client’s education, type of the service offered, channel of the knowledge exchange, and willingness of the customer to accept the knowledge). The paper is based on a literature analysis and a case study research, examining 5 KIBS firms located in the Pomeranian region in Poland. Methodology: On the...
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Quantitative fluorescent determination of DNA – Ochratoxin a interactions supported by nitrogen-vacancy rich nanodiamonds
PublikacjaOchratoxin A (OTA) is a hazardous contaminant of a large variety of plant and animal originated food. Herein, we report an interaction of OTA with calf thymus DNA (ct DNA) on the nanodiamond surface. We employed multispectroscopic techniques to elucidate the binding mechanism of OTA with ct DNA. The fluorescence and UV–Vis spectroscopy results show that OTA binds to ds ct DNA and forms complexes. We obtained the binding constants...
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An application of multi-agent system for ship’s power systems design
PublikacjaDesign process of transport ship power system consists of structure (topology) and component elements selection. Compliance with the requirements for static components does not guarantee optimal dynamic characteristics of entire power system. Design steps are difficult to formalize and as a consequence to this reason expert and multi-agent systems are used for solving selected design issues. In the paper distributed multi-agent...
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Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines
PublikacjaThe acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases...
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Connection matrix theory for discrete dynamical systems
PublikacjaIn [C] and [F1] the connection matrix theory for Morse decomposition is developedin the case of continuous dynamical systems. Our purpose is to study the case of discrete timedynamical systems.
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublikacjaLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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How to deal with knowledge in small companies? Defining emergent KM approach
PublikacjaThis paper examines the concept of emergent KM approach in small companies. The origins of consideration are grounded in the theory of strategic management literature and in particular in the distinction between deliberate versus emergent approach towards strategic planning. Using the methodology of case study, we carried out an explorative research to analyse the characteristics of KM approach in two small companies located in...
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Badania doświadczenia użytkownika (User Experience) w projektowaniu interakcji użytkownik-system
PublikacjaArtykuł omawia coraz częściej używany termin "doświadczenie użytkownika" (ang. User Experience - UX) oraz je-go znaczenie dla emocjonalnych aspektów satysfakcji użytkownika produktów informatycznych i usług on-line. Dokona-no przeglądu czterech głównych podejść badawczych stosowanych obecnie w odniesieniu do tematyki UX: projektowa-nie interakcji, e-marketing, pomiary psychofizjologiczne i współprojektowanie usług. Przedyskutowano...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublikacjaBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
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Arbutin: Isolation, X-ray structure and computional studies
PublikacjaArbutin, an active component originated from Serratula quinquefolia for skin-whitening use and treating skin related allergic inflammation, was characterized by microanalysis, FTIR, UV-Vis, multinuclear NMR spectroscopy, and single crystal X-ray diffraction method. The geometries of the studied compound were optimized in singlet states using the density functional theory (DFT) method with B3LYP functional. Electronic spectra were...
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Information retrieval with semantic memory model
PublikacjaPsycholinguistic theories of semantic memory form the basis of understanding of natural language concepts. These theories are used here as an inspiration for implementing a computational model of semantic memory in the form of semantic network. Combining this network with a vector-based object-relation-feature value representation of concepts that includes also weights for confidence and support, allows for recognition of concepts...
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DNA restriction analysis as a supportive tool in mechanistic studies carried out by 32P-postlabelling
PublikacjaNumerous antitumor and carcinogenic compounds are able to modify DNA by forming covalent bonds with its constituents, while some anticarcinogenic compounds are known to prevent such a modification. All these processes are of vital biological import_ance, though deeper inside into factors influencing formation of DNA adducts is difficult due to the low level of their occurrence. 32P-Postlabelling approach ensures very sensitive...
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Financial Markets and Bankruptcy Systems: Is there a Relationship?
PublikacjaPurpose: Filling the cognitive gap in the theory of ex-post transaction costs, i.e., at the stage of enforcing market transactions by examining the relationship between friendliness/severity of the bankruptcy and restructuring law towards debtors, the level of development of financial markets, the effectiveness of the judicial system and the rate of debt recovery. Design/Methodology/Approach: In the research, the following methods...
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Deep eutectic solvents – Ideal solution for clean air or hidden danger?
PublikacjaThe industrial sector is one of the fastest-growing sources of greenhouse gases, due to its excessive energy consumption to meet the rapidly growing demand for energy-intensive products. The use of deep eutectic solvents (DESs) has been studied extensively in order to cope with these harmful gases, but their usage can be an issue in respect to ecological reasons. Do deep eutectic solvents harm the atmosphere? Yes, these solvents...
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Radio- and photosensitization of DNA with compounds containing platinum and bromine atoms
Publikacja. Irradiations of plasmid DNA by both X-rays and UV light in the presence and absence of compounds containing platinum and bromine atoms were performed in order to asses the sensitization potential of these compounds. Plasmid DNA pBR322 was incubated with platinum (II) bromide, hydrogen hexabromoplatinate (IV), hydrogen hexahydroxyplatinate (IV) and sodium hexahydroxyplatinate (IV). Incubation was followed by X-ray or UV irradiations....
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Software modules and application layer's security structure of RSMAD
PublikacjaThe paper discusses the software modules of Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras (in short RSMAD). The structure of the application layer of the system has also been analysed in details, including: purpose, structure and principles of operation of software modules constituting this system. In addition, the paper presents and discusses the structure of security of application layer...
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Hidden Markov Models for Visual Processing of Marketing Leaflets
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Visual measurement system for chosen parameters of current collectors
PublikacjaA current collector is an element in a traction vehicle, used for movable, contact con-nection between the main circuit of this vehicle and the contact line. Bad technical condi-tion of these important elements in the main circuit of the vehicle result in its incorrect cooperation with contact line. Periodic control of technical condition of current collectors ensures infallible current collection. The pantograph diagnostics consists...
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AAM toolkit: a system for visual object appearance modeling
PublikacjaAktywne modele wyglądu (AAM) mogą być traktowane jako zaawansowana metoda analizy informacji multimedialnych, pozwalająca na lokalizowanie i rozpoznawanie obiektów w obrazach statycznych i sekwencjach wideo. Pomimo tego że ukazało się wiele publikacji dotyczących AAM, przejście od koncepcji teoretycznych do działającej implementacji stanowi nadal duże wyzwanie. W pracy przedstawiono przygotowany przez autorów pakiet oprogramowania...
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Human Tracking in Multi-camera Visual Surveillance System
PublikacjaArtykuł prezentuje krótkie podsumowanie wykorzystywanych technologii z dziedziny śledzenia osób z wykorzystaniem inteligentnych systemów bezpieczeństwa. Opisane w niniejszym opracowaniu systemy rozpoznawania twarzy, w połączeniu ze śledzeniem osób, nie mają na celu rozpoznawania tożsamości osób. Nie powstaje żadna baza danych łącząca cechy biometryczne z konkretnymi osobami, co sprawia że przestrzegane jest prawo w zakresie ochrony...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublikacjaIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
PublikacjaThis chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...
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Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning
PublikacjaText-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...
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Modeling lignin extraction with ionic liquids using machine learning approach
PublikacjaLignin, next to cellulose, is the second most common natural biopolymer on Earth, containing a third of the organic carbon in the biosphere. For many years, lignin was perceived as waste when obtaining cellulose and hemicellulose and used as a biofuel for the production of bioenergy. However, recently, lignin has been considered a renewable raw material for the production of chemicals and materials to replace petrochemical resources....
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MACHINE LEARNING APPLICATIONS IN RECOGNIZING HUMAN EMOTIONS BASED ON THE EEG
PublikacjaThis study examined the machine learning-based approach allowing the recognition of human emotional states with the use of EEG signals. After a short introduction to the fundamentals of electroencephalography and neural oscillations, the two-dimensional valence-arousal Russell’s model of emotion was described. Next, we present the assumptions of the performed EEG experiment. Detail aspects of the data sanitization including preprocessing,...
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Improving listeners' experience for movie playback through enhancing dialogue clarity in soundtracks
PublikacjaThis paper presents a method for improving users' quality of experience through processing of movie soundtracks. The dialogue clarity enhancement algorithms were introduced for detecting dialogue in movie soundtrack mixes and then for amplifying the dialogue components. The front channel signals (left, right, center) are analyzed in the frequency domain. The selected partials in the center channel signal, which yield high disparity...
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Knowledge management approaches of small and medium-sized firms: a cluster analysis
PublikacjaPurpose This paper aims to categorise the approaches to knowledge management (KM) by companies. In the literature, there is no consensus on a universal or “best” approach to KM. Especially, this paper singles out and discusses the variegated features that characterise the implementation of KM by small- and medium-sized enterprises (SMEs) having different characteristics. Design/methodology/approach A cluster analysis was used...