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Wyniki wyszukiwania dla: EDWARD KAJDAŃSKI
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Video Classification Technology in a Knowledge-Vision-Integration Platform for Personal Protective Equipment Detection: An Evaluation
PublikacjaThis work is part of an effort for the development of a Knowledge-Vision Integration Platform for Hazard Control (KVIP-HC) in industrial workplaces, adaptable to a wide range of industrial environments. This paper focuses on hazards resulted from the non-use of personal protective equipment (PPE), and examines a few supervised learning techniques to compose the proposed system for the purpose of recognition of three protective...
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Support Product Development Framework by Means of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA
PublikacjaIn this paper, we propose a framework to support product development activi-ties by utilizing Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). This idea will provide a new direction to researchers working on product development, especially designers and manufacturers. They will be working on the same platform and this will be reducing their communication gap. Once the final idea is perceived about product...
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Viability of decisional DNA in robotics
PublikacjaThe Decisional DNA is an artificial intelligence system that uses prior experiences to shape future decisions. Decisional DNA is written in the Set Of Experience Knowledge Structure (SOEKS) and is capable of capturing and reusing a broad range of data. Decisional DNA has been implemented in several fields including Alzheimer’s diagnosis, geothermal energy and smart TV. Decisional DNA is well suited to use in robotics due to the...
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Accurate Modeling of a Lossy Ferrite Circular Guide Section Magnetized Through a Rotary Four-Pole Magnetic Field
PublikacjaKorzystając z metody rodzajów sprzężonych opracowano model matematyczny umożliwiający określenie parametrów falowych i rozkładów pola em. fal występujących w ferrytowym falowodzie cylindrycznym magnesowanym czterobiegunowym polem magnetycznym. W oparciu o model określono macierz rozproszenia sekcji falowodu. Opracowane oprogramowanie pozwoliło na zbadanie charakterystyk częstotliwościowych sekcji ferrytowej i wskazanie możliwości...
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Molecular modeling of amphotericin B - ergosterol primary complex in water II
PublikacjaPrezentowane badania dotyczą oddziaływania antybiotyku polienowego anfoterycyny B (AmB) i ergosterolu (ERG) (typowego sterolu błonowego komórek grzybowych) na poziomie molekularnym. W odróżnieniu od badanego poprzednio kompleksu binarnego analizowany obecnie kompleks AnB/ERG/AmB charakteryzuje się zdecydowanie wiekszą stabilnością i wzglednie sztywną, sandwiczową geometrią. Za trwałość i geometrie kompleksu odpowiedzialne są oddziaływania...
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University of the future: a fractal oganization of knowledge
PublikacjaW opracowaniu przedstawiono wizję uniwersytetu przyszłości jako organizacji fraktalnej. Pokazano cechy wspólne organizacji fraktalnej i uniwersytetu ewoluującego w kierunku organizacji podporzadkowanej wiedzy.
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Propagation in a ferrite circular waveguide magnetized through a rotary four-pole magnetic field
PublikacjaOpracowano uproszczony model matematyczny użyteczny do badania zjawisk polowych występujących w falowodzie cylindrycznym magnesowanym czterobiegunowym polem obrotowym. Wykazano, że falowód ten może być wykorzystany jako przesuwnik fazy lub układ zmieniający polaryzację.
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Interactions of amphotericin B derivatives with lipid membranes - a molecular dynamics study
PublikacjaW pracy analizowano oddziaływanie dwóch nisko-toksycznych pochodnych amfoterycyny B (związki SAmE i PAmE) z modelami błon lipidowych. Badania wykonane zostały za pomocą dynamiki molekularnej. Modele błon oprócz fosfolipidów DMPC zawierały odpowiednio cholesterol (model błony zwierzęcej) lub ertosterol (model błony grzybowej). Analiza wyników wykazała, że obie pochodne amfoterycyny B zachowują się inaczej w błonie cholesterolowej...
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KM supported process improvement
PublikacjaThe corporate universe nowadays is full of change initiatives andimprovement philosophies. However,only few have proved successful enough to be integrated into regular operations a worldwide leading companies.In this context Six Sigma projects and Lean action workouts emerge as he most effective practices.In this paper we argue that there is a considerable potential to enhance them using Knowledge Management methodology and benefit...
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Numerical analysis of the influence of a Gyrotron's cavity walls curvature
Publikacja -
Trihalometany (THM)
PublikacjaOpisano powstawanie trohalometanów w trakcie chlorowania wody do picia orazdwie metody ich oznaczania z wykorzystaniem ekstrakcji ciecz-ciecz i ozna-czaniem techniką GC-ECD oraz metodą bezpośredniego dozowania próbki wody dokapilarnej kolumny chromatograficznej połączonej z detektorem wychwytu elek-tronów (DAI-GC-ECD).
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Comparative molecular dynamics simulations of amphotericin B-cholesterol/ergosterol membrane channels
PublikacjaBadania polegały na przeprowadzeniu porównawczej dynamiki molekularnej dla dwóch typów kanałów amfoterycyny B. Obie symulacje różniły się rodzajem sterolu (cholesterol lub ergosterol). Na podstawie wyników przeprowadzonych prac ustalono jakie elementy strukturalne badanych kanałów mogą być odpowiedzialne za selektywne działanie amfoterycyny B.
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Ferrite coupled slot lines circulator.
PublikacjaW oparciu o metodę rodzajów sprzężonych przeprowadzono analizę macierzy rozproszenia sekcji ferrytowych linii szczelinowych (FLS). W oparciu o uzyskane wyniki opracowano model cyrkulatora zaprojektowany w postaci kaskadowego połączenia sekcji FLS oraz szczelinowego rozgałęzienia typu T. Określono parametry rozproszenia układu, które zweryfikowano eksperymentalnie.
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Pomiary naprężeń w warstwie wierzchniej stali duplex metodą dyfrakcji promieniowania rentgenowskiego g-sin2Ψ = Residual stress measurements in duplex steel surface layers by g-sin2Ψ x-ray diffraction method
PublikacjaPrzedstawiono wyniki pomiarów naprężeń w warstwie wierzchniej z wykorzystaniem metody dyfrakcji promieniowania rentgenowskiego g-sin2. Wyjaśniono zasady przeprowadzania pomiarów naprężeń na próbkach walcowych o małej średnicy. Badania prowadzono na próbkach okrągłych ze stali duplex, poddanych procesom nagniatania. Stwierdzono występowanie naprężeń ściskających w warstwach powierzchniowych wszystkich badanych próbek oraz istotne...
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Validation of Interpolation Algorithms for Multiscale UV-VIS Imaging Using UAV Spectrometer
PublikacjaIn this study, we present a comparison of popular methods for the interpolation of irregular spatial data in order to determine the applicability of each algorithm for hyperspectral reflectance estimation. The algorithms were benchmarked against a very high-resolution orthoimage from an RGB camera and medium-resolution satellite imagery from Sentinel-2A. We tested five interpolation algorithms: Triangulated Irregular Network (TIN),...
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Decisional-DNA-Based Digital Twin Implementation Architecture for Virtual Engineering Objects
PublikacjaDigital twin (DT) is an enabling technology that integrates cyber and physical spaces. It is well-fitted for manufacturing setup since it can support digitalized assets and data analytics for product and process control. Conventional manufacturing setups are still widely used all around the world for the fabrication of large-scale production. This article proposes a general DT implementation architecture for engineering objects/artifacts...
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Representing and Managing Experiential Knowledge with Decisional DNA and its Drimos® Extension
PublikacjaThe Semantic Web concept is proposing a future concept of the WorldWideWeb (WWW) where both humans and man-made systems are able to interconnect and exchange knowledge. One of the challenges of Semantic Web is smart and trusted accommodation of knowledge in artificial systems so it can be unified, enhanced, reused, shared, communicated and distributed with added aptitude. Our research represents an important component of addressing...
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Integrating Experience-Based Knowledge Representation and Machine Learning for Efficient Virtual Engineering Object Performance
PublikacjaMachine learning and Artificial Intelligence have grown significant attention from industry and academia during the past decade. The key reason behind interest is such technologies capabilities to revolutionize human life since they seamlessly integrate classical networks, networked objects and people to create more efficient environments. In this paper, the Knowledge Representation technique of Set of Experience...
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Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
PublikacjaThe entire manufacturing spectrum is transforming with the advent of Industry 4.0. The features of Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA) were utilized for developing Virtual Engineering Objects (VEO), Virtual Engineering Process (VEP) and Virtual Engineering Factory (VEF), which in turn facilitate the creation of smart factories. In this study, DDNA based Machine Monitoring for Total Maintenance...
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Floodplain inundation Mapping using SAR Scattering Coefficient Thresholding and Observed Discharge Data
PublikacjaInundation area time series are important for wetlands monitoring and hydrological model validation. This study is conducted in Biebrza floodplain, which is a natural wetland with complex inundation generation processes. In order to map 2014-2018 series of inundation in the floodplain we test our automatic thresholding method on Sentinel 1 data. The threshold value is optimized using correlation of the inundation area with observed...
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Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
PublikacjaIndustry 4.0 offers a comprehensive, interlinked, and holistic approach to manufacturing. It connects physical with digital and allows for better collaboration and access across departments, partners, vendors, product, and people. Consequently, it involves complex designing of highly specialized state of the art technologies. Thus, companies face formidable challenges in the adoption of these new technologies....
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Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0
PublikacjaABSTRACT Industry 4.0 aims at providing a digital representation of a production landscape, but the challenges in building, maintaining, optimizing, and evolving digital models in inter-organizational production chains have not been identified yet in a systematic manner. In this paper, various Industry 4.0 research and technical challenges are addressed, and their present scenario is discussed. Moreover, in this article, the novel...
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Flooding Extent Mapping for Synthetic Aperture Radar Time Series Using River Gauge Observations
PublikacjaThe flooding extent area in a river valley is related to river gauge observations such as discharge and water elevations. The higher the water elevations, or discharge, the larger the flooding area. Flooding extent maps are often derived from synthetic aperture radar (SAR) images using thresholding methods. The thresholding methods vary in complexity and number of required parameters. We proposed a simple thresholding method that...
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Flood Classification in a Natural Wetland for Early Spring Conditions Using Various Polarimetric SAR Methods
PublikacjaAbstract--- One of the major limitations of remote sensing flood detection is the presence of vegetation. Our study focuses on a flood classification using Radarsat-2 Quad-Pol data in a natural floodplain during leafless, dry vegetation (early spring) state. We conducted a supervised classification of a data set composed of nine polarimetric decompositions and Shannon entropy followed by the predictors' importance estimation to...
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Effect of high pressure of selected bacteria at subzero temperature
PublikacjaCelem pracy było określenie przeżywalności wybranych bakterii gramdodatnich i gramujemnych poddanych działaniu podwyższonego ciśnienia w zakresie od 60 do 193 MPa w ujemnej temperaturze. Wrażliwość bakterii na zwiększone ciśnienie zależy od fazy wzrostu w jakiej się one znajdują. Z reguły bakterie gramdodatnie są bardziej odporne na ciśnienie niż bakterie gramujemne. Wykazano, że różnice w odporności pojawiają się nie tylko pomiędzy...
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Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
PublikacjaComputer integrated manufacturing (CIM) has enormous benefits as it increases the rate of production, reduces errors and production waste, and streamlines manufacturing sub-systems. However, there are some new challenges related to CIM operating in the Internet of Things/Internet of Data (IoT/IoD) scenarios associated with Industry 4.0 and cyber-physical systems. The main challenge is to deal with the massive volume of data flowing...
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Floodsar: Automatic mapping of river flooding extent from multitemporal SAR imagery
PublikacjaFloodsar is an open-source tool for automatic mapping of the flood extent from a time series of synthetic aperture radar (SAR) imagery. Floodsar is unsupervised, however, it requires defining the parameters search space, geographical area of interest, and some river gauge observations (e.g. water levels or discharges) time series that overlap temporarily with the SAR imagery. Applications of Floodsar are mainly in real-time monitoring...
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Strategies for overcoming ABC-transporters-mediated multidrug resistance (MDR) of tumor cells. Review
PublikacjaOporność wielolekowa (MDR) nowotworów jest główną przyczyną niepowodzeń w chemoterapii przeciwnowotworowej. Jest ona wynikiem nadprodukcji w komórkach opornych transporterów białkowych z nadrodziny ABC, eksportujących cytostatyk z komórki, których działanie uniemożliwia utrzymanie terapeutycznego stężenia leku. W publikacji dokonano przeglądu różnych strategii przeciwdziałania zjawisku MDR. Strategie te dotyczą zarówno kontroli...
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Proximal primal–dual best approximation algorithm with memory
PublikacjaWe propose a new modified primal–dual proximal best approximation method for solving convex not necessarily differentiable optimization problems. The novelty of the method relies on introducing memory by taking into account iterates computed in previous steps in the formulas defining current iterate. To this end we consider projections onto intersections of halfspaces generated on the basis of the current as well as the previous...
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Współtwórca polskiego przemysłu obrabiarkowego
PublikacjaPrzedstawiono działalność naukową, dydaktczną i inżynierską prof. zw. inż. Edwarda Tadeusza Geislera, a szczególnie w okresie pracy w Katedrze Obróbki Metali i Katedrze Obrabiarek do Metali Politechniki Gdańskiej. Zamieszczono także informacje o programie rozwoju polskiego przemysłu obrabiarkowego w Centalnym Okręgu Przemysłowym, którego profesor był twórcą. Omówiono również książki z zakresu obróbki skrawaniem, których autorem...
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Interactions between amphotericin B 3-(N',N'-dimethylamino)propyl amide and cellular membrane components in Langmuir monolayers
PublikacjaPublikacja zawiera charakterystykę monowarstw Langmuir'a tworzonych przez pochodną amfoterycyny B tj.amid 3-(N',N'-dimetyloamino)propylowy (AMA) oraz wyniki badań nad jej oddziaływaniem z cholesterolem, ergosterolem i fosfolipidami. Znaleziono, iż stan jonowy cząsteczki pochodnej AMA, a także jej wielkość mają znaczący wpływ na właściwości biologiczne związku.
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Aromatic heptaene antibiotics as an alternative for synthetic triazole fungicides in plant protection
PublikacjaAn in vitro antifungal activity of candicidin and ascosin antibiotics (0,01-10 μg/mL) towards representative strains of phytopathogenic fungi was detd. Both compds. exhibited similar half max. effective concns. inhibiting growth of the fungi as that of tebuconazole used for comparison.
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Interactions of amphotericin B derivative of low toxicity with biological membrane components - the Langmuir monolayer approach
PublikacjaMetodą monowarstw Langmuira zbadano naturę oddziaływań nowej pochodnej antybiotyku przeciwgrzybowego amfoterycyny B o niskiej toksyczności, tj. estru metylowego N-metylo-N-D-fruktopiranozyloamfoterycyny B (MF-AME)z komponentami błon biologicznych: ergosterolem, występującym w komórkach grzybowych i cholesterolem występującym w komórkach zwierzęcych oraz z modelowym fosfolipidem DPPC i na tej podstawie stwierdzono, że zróżnicowanie...
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N-(1-Piperidinepropionyl)amphotericin B methyl ester (PAME) - a new derivative of the antifungal antibiotic amphotericin B: Searching for the mechanism of its reduced
PublikacjaZ zastosowaniem techniki monowarstw Langmuira zbadano naturę oddziaływań pochodnej antybiotyku przeciwgrzybowego amfoterycyny B o obniżonej toksyczności tj. estru metylowego N-(1-piperydynopropionylo)amfoterycyny B (PAME) z komponentami błon biologicznych takich jak: ergosterol, cholesterol i modelowy fosfolipid DPPC i stwierdzono, że zróżnicowanie tych oddziaływań jest podstawą obniżonej toksyczności związku.
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Synthesis and biological evaluation of thiophosphate tricyclic coumarin derivatives as steroid sulfatase inhibitors
PublikacjaSteroid sulfatase (STS) enzyme inhibition is an important approach to the management of hormone-dependent breast cancer. In this paper, we report convenient methods for the synthesis and biological evaluation of thiophosphate tricyclic coumarin analogs exhibiting STS activity. The described methods are based on the straightforward preparation of 7-hydroxy-2,3-dihydro-1H-cyclopenta[c]chromen-2-one, 3-hydroxy- 7,8,9,10-tetrahydro-6H-benzo[c]chromen-6-one,...
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Novel 2-(2-arylmethylthio-4-chloro-5-methylbenzenesulfonyl)-1-(1,3,5-triazin-2-ylamino)guanidine derivatives: Inhibition of human carbonic anhydrase cytosolic isozymes I and II and the transmembrane tumor-associated isozymes IX and XII, anticancer activity, and molecular modeling studies
PublikacjaA series of novel 2-(2-arylmethylthio-4-chloro-5-methylbenzenesulfonyl)-1-(6-substituted-4-chloro-1,3,5-triazin-2-ylamino)guanidine derivatives 9–20 have been synthesized by substitution of chlorine atom at the 1,3,5-triazine ring in compounds 5–8 with 3- or 4-aminobenzenesulfonamide and 4-(aminomethyl)benzenesulfonamide hydrochloride. All the synthesized compounds were evaluated for their inhibitory activity toward hCA I, II,...
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Towards Knowledge Sharing Oriented Adaptive Control
PublikacjaIn this paper, we propose a knowledge sharing oriented approach to enable a robot to reuse other robots' knowledge by adapting itself to the inverse dynamics model of the knowledge-sharing robot. The purpose of this work is to remove the heavy fine-tuning procedure required before using a new robot for a task via reusing other robots' knowledge. We use the Neural Knowledge DNA (NK-DNA) to help robots gain empirical knowledge and...
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Adding Interpretability to Neural Knowledge DNA
PublikacjaThis paper proposes a novel approach that adds the interpretability to Neural Knowledge DNA (NK-DNA) via generating a decision tree. The NK-DNA is a promising knowledge representation approach for acquiring, storing, sharing, and reusing knowledge among machines and computing systems. We introduce the decision tree-based generative method for knowledge extraction and representation to make the NK-DNA more explainable. We examine...
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Sustainable Knowledge Sharing Model for IT Agile Projects
PublikacjaIn order to overcome work environment challenges and remain competitive in the market, organisations must adapt. An organisation's competitiveness can be improved through knowledge sharing; however, improvement without responsibility can have a negative impact on the sociotechnical environment which people cannot fully comprehend. According to researchers, business involvement in sustainable development goals remains minimal [51]....
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Smart Knowledge Engineering for Cognitive Systems: A Brief Overview
PublikacjaCognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...
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A new multi-process collaborative architecture for time series classification
PublikacjaTime series classification (TSC) is the problem of categorizing time series data by using machine learning techniques. Its applications vary from cybersecurity and health care to remote sensing and human activity recognition. In this paper, we propose a novel multi-process collaborative architecture for TSC. The propositioned method amalgamates multi-head convolutional neural networks and capsule mechanism. In addition to the discovery...
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Experience-Based Product Inspection Planning for Industry 4.0
PublikacjaIn this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected,...
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Context-Aware Indexing and Retrieval for Cognitive Systems Using SOEKS and DDNA
PublikacjaVisual content searching, browsing and retrieval tools have been a focus area of interest as they are required by systems from many different domains. Context-based, Content-Based, and Semantic-based are different approaches utilized for indexing/retrieving, but have their drawbacks when applied to systems that aim to mimic the human capabilities. Such systems, also known as Cognitive Systems, are still limited in terms of processing...
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Visual content representation and retrieval for Cognitive Cyber Physical Systems
PublikacjaCognitive Cyber Physical Systems have gained significant attention from academia and industry during the past few decade. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes, which environmental conditions may vary, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior...
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Smart Embedded Systems with Decisional DNA Knowledge Representation
PublikacjaEmbedded systems have been in use since the 1970s. For most of their history embedded systems were seen simply as small computers designed to accomplish one or a few dedicated functions; and they were usually working under limited resources i.e. limited computing power, limited memories, and limited energy sources. As such, embedded systems have not drawn much attention from researchers, especially from those in the artificial...
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Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence
PublikacjaCognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...
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Image Representation for Cognitive Systems Using SOEKS and DDNA: A Case Study for PPE Compliance
PublikacjaCognitive Vision Systems have gained significant interest from academia and industry during the past few decade, and one of the main reasons behind this is the potential of such technologies to revolutionize human life as they intend to work under complex visual scenes, adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination of these properties aims to mimic the human capabilities...
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From Knowledge based Vision Systems to Cognitive Vision Systems: A Review
PublikacjaComputer vision research and applications have their origins in 1960s. Limitations in computational resources inherent of that time, among other reasons, caused research to move away from artificial intelligence and generic recognition goals to accomplish simple tasks for constrained scenarios. In the past decades, the development in machine learning techniques has contributed to noteworthy progress in vision systems. However,...
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Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks
PublikacjaThe increasing use of the Internet with vehicles has made travel more convenient. However, hackers can attack intelligent vehicles through various technical loopholes, resulting in a range of security issues. Due to these security issues, the safety protection technology of the in-vehicle system has become a focus of research. Using the advanced autoencoder network and recurrent neural network in deep learning, we investigated...
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Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization
PublikacjaCurrent computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...