Search results for: NETWORK-BASED LOCALIZED MOBILITY - Bridge of Knowledge

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Search results for: NETWORK-BASED LOCALIZED MOBILITY

Search results for: NETWORK-BASED LOCALIZED MOBILITY

  • Effect of the Catalytic Center on the Electron Transfer Dynamics in Hydrogen-Evolving Ruthenium-Based Photocatalysts Investigated by Theoretical Calculations

    Publication

    The light-induced relaxation pathways in the molecular photocatalyst [(tbbpy)2Ru(tpphz)PtCl2]2+ are investigated with time-dependent density functional theory calculations together with the Marcus theory of electron transfer (ET). The calculations show that metal (Ru) to ligand (tpphz) charge transfer (MLCT) triplet states are populated following an excitation in the longer wavelength range of the absorption spectrum, but that an...

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  • WordVenture - COOPERATIVE WordNet EDITOR Architecture for Lexical Semantic Acquisition

    Publication

    - Year 2017

    This article presents architecture for acquiring lexical semantics in a collaborative approach paradigm. The system enables functionality for editing semantic networks in a wikipedia-like style. The core of the system is a user-friendly interface based on interactive graph navigation. It has been used for semantic network presentation, and brings simultaneously modification functionality.

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  • A new quaternion-based encryption method for DICOM images

    In this paper, a new quaternion-based lossless encryption technique for digital image and communication on medicine (DICOM) images is proposed. We have scrutinized and slightly modified the concept of the DICOM network to point out the best location for the proposed encryption scheme, which significantly improves speed of DICOM images encryption in comparison with those originally embedded into DICOM advanced encryption standard...

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  • Cure kinetics of epoxy/MWCNTs nanocomposites: Isothermal calorimetric and rheological analyses

    Publication
    • P. Vijayan
    • D. Puglia
    • H. Rastin
    • M. Saeb
    • B. Shojaei
    • K. Formela

    - PROGRESS IN ORGANIC COATINGS - Year 2017

    A combinatorial route has been applied in cure kinetics study of epoxy nanocomposites containing multi-walled carbon nanotubes (MWCNTs) based on differential scanning calorimetry and rheokinetic analyses under isothermal conditions. Pristine and amine-modified MWCNTs bearing primary and secondary amines were used at very low concentrations (0.1 and 0.3 wt.% based on epoxy weight). Model-free and model-fitting methods were applied...

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  • Optimized Computational Intelligence Model for Estimating the Flexural Behavior of Composite Shear Walls

    Publication

    - Buildings - Year 2023

    This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory data points and the Transit Search (TS) optimization algorithm. Using 80% of the experimental dataset, the optimized model was selected by determining the unknown coefficients of...

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  • An Algorithm for Optimizing the Determination of Cycling Routes on the Example of the Gdansk Agglomeration

    Publication

    - Year 2018

    Physical activity is an essential part of a healthy lifestyle. One of the manifestations of the change in a society type from consumer to information one is the understanding of the importance of ecology and a healthy lifestyle. This is evident, inter alia, in the inventiveness and involvement of the society in the start-up and solutions referred to as the Smart City. One example is the development of e-bike rental and local investments...

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  • Neural Network Subgraphs Correlation with Trained Model Accuracy

    Publication

    - Year 2020

    Neural Architecture Search (NAS) is a computationally demanding process of finding optimal neural network architecture for a given task. Conceptually, NAS comprises applying a search strategy on a predefined search space accompanied by a performance evaluation method. The design of search space alone is expected to substantially impact NAS efficiency. We consider neural networks as graphs and find a correlation between the presence...

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  • Influence of Dielectric Overlay Permittivity on Size and Performance of Miniaturized ESPAR Antenna

    Publication

    In this paper, influence of dielectric overlay permittivity on miniaturized ESPAR antenna parameters is presented. ESPAR antenna is a low-cost and energy-efficient way to implement beam steering capability to a node and improve network performance. The antenna size reduction is obtained by embedding its active and passive elements in ABS based materials of relative permittivity equal to 4, 5.5 and 7.5 in order to achieve network...

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  • A spice equivalent circuit for modeling the performance of dual frequency echo-sounder

    Publication

    The paper presents novel network equivalent circuit of piezoceramic circular disc transducers that takes into account thickness and radial mode of vibrations. The starting point of the analysis is 4-port description of circular disc element representing the solution of wave equation set in radial and thickness directions. The approximate solution for harmonic case is represented in the form of 4x4 matrix, which is synthesised and...

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  • SIMULATION MODEL OF ASON/GMPLS ARCHITECTURE

    Publication

    Growing demands of information society concerned with sophisticated applications could be satisfied by ASON/GMPLS architecture comprehended as Automatically Switched Optical Network (ASON) with Generalized Multi-Protocol Label Switching (GMPLS). The ASON/GMPLS proposition represents the future direction of Next Generation Network (NGN) architecture. Therefore considerable work has to be done to examine this solution. In this aspect...

  • The Impact of Organizational Culture on Bicycle Commuting Frequency: The Research Based on Example of Three IT companies

    Publication

    - Year 2015

    This chapter describes a study on work-related factors affecting employees’ decision on bicycle commuting. Employees’ transport choices are related to organizational culture. This chapter refers to E. Schein’s definition of organizational culture model. The study was made in order to determine the impact of specific levels of organizational culture on the transport behavior of employees. It is based on a survey performed in three...

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  • Influence of User Mobility on System Loss and Depolarization in a BAN Indoor Scenario

    Publication
    • M. M. Ferreira
    • F. D. Cardoso
    • S. J. Ambroziak
    • M. Särestöniemi
    • K. Turbić
    • L. M. Correia

    - IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION - Year 2024

    In this article, an analysis of system loss and depolarization in body area networks (BANs) for body-toinfrastructure (B2I) communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were performed with an off-body antenna transmitting linearly polarized signals and dual-polarized receiving antennas carried by the user on the body. A normal distribution with a mean of...

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  • System Loss Model for Body Area Networks in Room Scenarios

    Publication
    • M. M. Ferreira
    • F. D. Cardoso
    • S. J. Ambroziak
    • M. Särestöniemi
    • L. M. Correia

    - Year 2023

    This paper presents an analysis of system loss in Body Area Networks for room scenarios, based on a wideband measurement campaign at 5.8 GHz. The measurements were performed with a fixed antenna transmitting vertically and horizontally polarised signals, while the user wears dualpolarised antennas. The average system losses in co- and crosspolarised channels are 41.4 and 42.6 dB for vertically polarised transmitted signals and...

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  • Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach

    Purpose: The article's main aim is to investigate the effectiveness of health systems in European countries based on EUROSTAT data. A comparative analysis of the health systems' effectiveness in different countries is based on their improvement (reform), using the best practices approach. Design/Methodology/Approach: The network DEA model and a slack-based model (NDEA – SBM) are used. A non-oriented model is used. The research...

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  • Adaptive Dynamical Systems Modelling of Transformational Organizational Change: with Focus on Organizational Culture and Organizational Learning

    Publication

    - Year 2022

    Transformative Organizational Change becomes more and more significant both practically and academically, especially in the context of organizational culture and learning. However computational modeling and a formalization of organizational change and learning processes are still largely unexplored. This paper aims to provide an adaptive network model of transformative organizational change and translate a selection of organizational...

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  • Adaptive Dynamical Systems Modelling of Transformational Organizational Change with Focus on Organizational Culture and Organizational Learning

    Publication

    - Cognitive Systems Research - Year 2023

    Transformative Organizational Change becomes more and more significant both practically and academically, especially in the context of organizational culture and learning. However computational modeling and a formalization of organizational change and learning processes are still largely unexplored. This paper aims to provide an adaptive network model of transformative organizational change and translate a selection of organizational...

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  • Assessment of Connectivity-based Resilience to Attacks Against Multiple Nodes in SDNs

    Publication
    • D. Santos
    • A. de Sousa
    • C. Mas-Machuca
    • J. Rak

    - IEEE Access - Year 2021

    In Software Defined Networks (SDNs), the control plane of a network is decoupled from its data plane. For scalability and robustness, the logically centralized control plane is implemented by physically placing different controllers throughout the network. The determination of the number and placement of controllers is known as the Controller Placement Problem (CPP). In the regular (i.e., failure-free) state, the control plane...

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  • Energy efficient indoor localisation for narrowband internet of things

    Publication

    - Year 2023

    There are an increasing number of Narrow Band IoT devices being manufactured as the technology behind them develops quickly. The high co-channel interference and signal attenuation was seen in edge Narrow Band IoT devices make it challenging to guarantee the service quality of these devices. To maximize the data rate fairness of Narrow Band IoT devices, a multi-dimensional indoor localization model is devised, consisting of...

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  • Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach

    Publication

    - Year 2023

    Transformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational...

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  • Supply current signal and artificial neural networks in the induction motor bearings diagnostics

    Publication

    This paper contains research results of the diagnostics of induction motor bearings based on measurement of the supply current with usage of artificial neural networks. Bearing failure amount is greater than 40% of all engine failures, which makes their damage-free operation crucial. Tests were performed on motors with intentionally made bearings defects. Chapter 2 introduces the concept of artificial neural networks. It presents...

  • Structural, physicochemical and anticancer study of Zn complexes with pyridyl-based thiazolyl-hydrazones

    Publication
    • J. B. Araškov
    • N. Maciejewska
    • M. Olszewski
    • A. Višnjevac
    • V. Blagojević
    • H. S. Fernandes
    • S. F. Sousa
    • A. Puerta
    • J. M. Padrón
    • B. B. Holló... and 7 others

    - JOURNAL OF MOLECULAR STRUCTURE - Year 2023

    Thiazolyl-hydrazones (THs) exhibit a wide spectrum of biological activity that can be enhanced by complexation with various metal ions. Zn(II) complexes with α-pyridine-1,3-TH ligands may represent an alternative to the standard platinum-based chemotherapeutics. In addition, they show photoluminescence properties and thus can be regarded as multifunctional materials. In this study, we synthesized and characterized three neutral...

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  • Application of Feed Forward Neural Networks for Modeling of Heat Transfer Coefficient During Flow Condensation for Low and High Values of Saturation Temperatur

    Publication

    Most of the literature models for condensation heat transfer prediction are based on specific experimental parameters and are not general in nature for applications to fluids and non-experimental thermodynamic conditions. Nearly all correlations are created to predict data in normal HVAC conditions below 40°C. High temperature heat pumps operate at much higher parameters. This paper aims to create a general model for the calculation...

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  • Międzysektorowa mobilność zatrudnienia oraz płac a efektywność rynku pracy.

    Publication

    Celem artykułu jest uzyskanie odpowiedzi na pytanie, czy ocenę efektywności funkcjonowania rynków pracy, rozumianej jako zdolność rynków do „oczyszczania się”, można przedstawić za pomocą analizy międzysektorowej mobilności płac oraz zatrudnienia. W połowie lat 90. XX wieku Paul Krugman dowodził, iż negatywne szoki gospodarcze skutkują w krajach europejskich wzrostem bezrobocia, natomiast w USA wzrostem rozpiętości płac. Tymczasem...

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  • Routing Method for Interplanetary Satellite Communication in IoT Networks Based on IPv6

    Publication

    - Year 2023

    The matter of interplanetary network (IPN) connection is a complex and sophisticated topic. Space missions are aimed inter alia at studying the outer planets of our solar system. Data transmission itself, as well as receiving data from satellites located on the borders of the solar system, was only possible thanks to the use of powerful deep space network (DSN) receivers, located in various places on the surface of the Earth. In...

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  • Call Processing Performance in a Multidomain IMS/NGN with Asymmetric Traffic

    Publication

    - Year 2014

    In this paper we continue our research using the previously proposed analytical traffic model of a multidomain Next Generation Network (NGN), which is standardized for delivering multimedia services based on the IP Multimedia Subsystem (IMS). The aim of the model is to assess mean Call Set-up Delay (CSD) and mean Call Disengagement Delay (CDD), which are standardized call processing performance parameters. The output variables...

  • Pose-Invariant Face Detection by Replacing Deep Neurons with Capsules for Thermal Imagery in Telemedicine

    Abstract— The aim of this work was to examine the potential of thermal imaging as a cost-effective tool for convenient, non- intrusive remote monitoring of elderly people in different possible head orientations, without imposing specific behavior on users, e.g. looking toward the camera. Illumination and pose invariant head tracking is important for many medical applications as it can provide information, e.g. about vital signs, sensory...

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  • Traffic Model of IMS/NGN Architecture with Transport Stratum Based on MPLS Technology

    Growing expectations for a fast access to information create strong demands for a universal telecommunication network architecture, which provides various services with strictly determined quality. Currently it is assumed that these requirements will be satisfied by Next Generation Network (NGN), which consists of two stratums and includes IP Multimedia Subsystem (IMS) elements. To guarantee Quality of Service (QoS) all NGN stratums...

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  • Traffic model for evaluation of call processing performance parameters in IMS-based NGN

    Publication

    - Year 2012

    In the modern world requirements for accurate and fast information distribution are becoming more and more important, which creates a strong necessity for appropriate telecommunication network architecture. Proposition of such an architecture is the Next Generation Network (NGN) concept, which in order to guarantee Quality of Service (QoS), should be correctly designed and dimensioned. For this reason proper traffic models must...

  • Optimum Choice of Randomly Oriented Carbon Nanotube Networks for UV-Assisted Gas Sensing Applications

    Publication
    • K. Drozdowska
    • A. Rehman
    • J. Smulko
    • A. Krajewska
    • B. Stonio
    • P. Sai
    • A. Przewłoka
    • M. Filipiak
    • K. Pavłov
    • G. Cywinski... and 2 others

    - ACS Sensors - Year 2023

    We investigated the noise and photoresponse characteristics of various optical transparencies of nanotube networks to identify an optimal randomly oriented network of carbon nanotube (CNT)-based devices for UV-assisted gas sensing applications. Our investigation reveals that all of the studied devices demonstrate negative photoconductivity upon exposure to UV light. Our studies confirm the effect of UV irradiation on the electrical...

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  • High frequency oscillations are associated with cognitive processing in human recognition memory

    Publication
    • M. T. Kucewicz
    • J. Cymbalnik
    • J. Matsumoto
    • B. H. Brinkmann
    • M. R. Bower
    • V. Vasoli
    • V. Sulc
    • F. Meyer
    • W. Marsh
    • S. M. Stead
    • G. A. Worrell

    - Brain: A Journal of Neurology - Year 2014

    High frequency oscillations are associated with normal brain function, but also increasingly recognized as potential biomarkers of the epileptogenic brain. Their role in human cognition has been predominantly studied in classical gamma frequencies (30-100 Hz), which reflect neuronal network coordination involved in attention, learning and memory. Invasive brain recordings in animals and humans demonstrate that physiological oscillations...

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  • Deep Learning-Based Intrusion System for Vehicular Ad Hoc Networks

    Publication

    - CMC-Computers Materials & Continua - Year 2020

    The 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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  • Heavy duty vehicle fuel consumption modelling using artificial neural networks

    Publication

    - Year 2019

    In this paper an artificial neural network (ANN) approach to modelling fuel consumption of heavy duty vehicles is presented. The proposed method uses easy accessible data collected via CAN bus of the truck. As a benchmark a conventional method, which is based on polynomial regression model, is used. The fuel consumption is measured in two different tests, performed by using a unique test bench to apply the load to the engine. Firstly,...

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  • Propagation Characteristics of Partial Discharges in an Oil-Filled Power Transformer

    Publication
    • S. M. Kameli
    • S. S. Refaat
    • A. Ghrayeb
    • H. Abu-Rub
    • J. Guziński

    - Year 2023

    Power transformers are among the most important assets in the power transmission and distribution grid. However, they suffer from degradation and possible faults causing major electrical and financial losses. Partial discharges (PDs) are used to identify the insulation health status and their degradation level. PDs are incipient, low-magnitude faults caused by localized dielectric breakdown. Those activities emit signals in many...

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  • Selfie and Personal Branding Phenomena in the Context of the Network Economy. A Literature Review

    Publication

    - Handel Wewnętrzny - Year 2017

    Self-taken pictures called “selfies” shared in social media have become a worldwide phenomenon. This is due to the increased need of human being to share to other people their daily lives and to build their own personal brand in the networked world. Despite that, the subject of personal branding has not been sufficiently discussed in academic marketing literature over the past decade. The objective of the study is to present the...

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  • Influence of accelerometer signal pre-processing and classification method on human activity recognition

    A study of data pre-processing influence on accelerometer-based human activity recognition algorithms is presented. The frequency band used to filter-out the accelerometer signals and the number of accelerometers involved were considered in terms of their influence on the recognition accuracy. In the test four methods of classification were used: support vector machine, decision trees, neural network, k-nearest neighbor.

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  • Low-power device simulator for micro-energy measurement methods testing

    The paper presents low-power device simulator designed for testing of micro-energy measurement methods. Such kind methods can be used for evaluation of power systems based on Energy Harvesting. The device allows to set the current consumption characteristic over the time, thus making possible playing the role of different types of low-power devices e.g. simulating sensor network node.

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  • The Methodology of identifying the place to install shunt compensators in the transmission network

    This methodology of selection and localization of static com- paper presents pensators in wide network. Proposed method is based on analysis of voltage area power profiles in the nodes of the power grid, and designating locations, In Which Voltages ex- cessively tend to change in time. Practical way of modeling the SVC device in PLANS program you Presented, as well as some example results of research.

  • A concept of measurement system based on the Z-Wave standard

    Publication

    In the paper a new concept of measurement system based on the Z-Wave standard is presented. This standard is dedicated to use mainly in home automation systems, but its properties enable to use it in dispersed measurement systems and support wireless communication between measurement nodes in a mesh-type network. In the paper basic metrological aspects of the Z-Wave standard and an example of impedance measurement system are discussed.

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  • Multifunctional PID Neuro-Controller for Synchronous Generator

    This paper deals with a PID Neuro-Controller (PIDNC) for synchronous generator system. The controller is based on artificial neural network and adaptive control strategy. It ensures two functions: maintaining the generator voltage at its desired value and damping electromechanical oscillations. The performance of the proposed controller is evaluated on the basis of simulation tests. A comparative study of the results obtained with...

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  • Network Graph Transformation Providing Fast Calculation of Paths for Resilient Routing

    Publication

    Protection of transmission against failures can be appropriately dealt with by alternative paths. However, common schemes (e.g., Bhandaris scheme) are characterized by a remarkable delay while determining the transmission paths. This in turn may have a serious impact on serving dynamic demands (characterized by relatively short duration time). As a remedy to this problem, we introduce an approach to pre-compute the sets of disjoint...

  • E-Learning Service Management System For Migration Towards Future Internet Architectures

    As access to knowledge and continuous learning are among the most valuable assets in modern, technological society, it is hardly surprising that e-learning solutions can be counted amongst the most important groups of services being deployed in modern network systems. Based on analysis of their current state-of-the-art, we decided to concentrate our research and development work on designing and implementing a management system...

  • Evolving neural network as a decision support system — Controller for a game of “2048” case study

    Publication

    The paper proposes an approach to designing the neuro-genetic self-learning decision support system. The system is based on neural networks being adaptively learned by evolutionary mechanism, forming an evolved neural network. Presented learning algorithm enables for a selection of the neural network structure by establishing or removing of connections between the neurons, and then for a finding the beast suited values of the network...

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  • Charge density wave and large nonsaturating magnetoresistance in YNiC2 and LuNiC2

    We report a study of physical properties of two quasi-low-dimensional metals YNiC2 and LuNiC2 including the investigation of transport, magnetotransport, galvanomagnetic, and specific heat properties. In YNiC2 we reveal two subsequent transitions associated with the formation of weakly coupled charge density wave at TCDW=318K and its locking in with the lattice at T1=275K. These characteristic temperatures follow the previously...

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  • Synthesis of green benzamide-decorated UiO-66-NH2 for biomedical applications

    Publication
    • N. Rabiee
    • A. M. Ghadiri
    • V. Alinezhad
    • A. Sedaghat
    • S. Ahmadi
    • Y. Fatahi
    • P. Makvandi
    • M. Saeb
    • M. Bagherzadeh
    • M. Asadnia... and 2 others

    - CHEMOSPHERE - Year 2022

    Metal-organic frameworks (MOFs) biocompatible systems can host enzymes/bacteria/viruses. Herein we synthesized a series of fatty acid amide hydrolase (FAAH)-decorated UiO-66-NH2 based on Citrus tangerine leaf extract for drug delivery and biosensor applications. Five chemically manipulated FAAH-like benzamides were localized on the UiO-66-NH2 surface with physical interactions. Comprehensive cellular and molecular analyses were...

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  • Hanna Obracht-Prondzyńska dr inż. arch.

    People

    Hanna Obracht-Prondzyńska, PhD MArch, Eng. Assistant Professor at the University of Gdańsk, Department of Spatial Management, academic teacher of urban design and spatial data analyses. Architect and urban planner experienced in data driven urban design and planning. She defended her PhD with distinction in engineering and technical sciences in the discipline of architecture and urban planning in 2020 at the Faculty of Architecture...

  • Schematiclab.com – A web tool for the design and analysis of electrical circuits

    Publication

    Along with a general progress in the modern computational tools, dynamic development of Internet applications using the cloud methodology and solutions is now observed. Clearly, also the applications installed locally, and being commonly used previously, are gradually gaining their counterparts in computational network clouds. The clouds have also brought new service sales opportunities. Namely, the service sales model based on...

  • Event driven MPC for networked control systems

    Publication

    - Year 2008

    Because of variable delays and stochastic data packets loss networked control systems require suitable algorithms to ensure stability of the control system and guarantee desired control performance. This paper presents the idea of an event driven approach with MPC controller. In opposition to network compensation, where standard regulators are used, the presented solution integrates network with plant. A MPC based controller is...

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  • Long-distance quantum communication over noisy networks without long-time quantum memory

    Publication
    • P. Mazurek
    • A. Grudka
    • M. Horodecki
    • P. Horodecki
    • J. Łodyga
    • Ł. Pankowski
    • A. Przysiężna

    - PHYSICAL REVIEW A - Year 2014

    The problem of sharing entanglement over large distances is crucial for implementations of quantum cryptography. A possible scheme for long-distance entanglement sharing and quantum communication exploits networks whose nodes share Einstein-Podolsky-Rosen (EPR) pairs. In Perseguers et al. [Phys. Rev. A 78, 062324 (2008)] the authors put forward an important isomorphism between storing quantum information in a dimension D and transmission...

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  • Detecting type of hearing loss with different AI classification methods: a performance review

    Publication
    • M. Kassjański
    • M. Kulawiak
    • T. Przewoźny
    • D. Tretiakow
    • J. Kuryłowicz
    • A. Molisz
    • K. Koźmiński
    • A. Kwaśniewska
    • P. Mierzwińska-Dolny
    • M. Grono

    - Year 2023

    Hearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...

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  • Surface Science - 2023/2024

    e-Learning Courses
    • A. Manohar
    • J. Ryl
    • L. Piotrowski
    • A. Tober

    The course is not a full time lecture but on the consultation/handouts. The consulations are held every two weeks. The course is based on the Springer textbook: Surface Science An Introduction Downloadable at: https://link.springer.com/book/10.1007/978-3-662-05179-5 (PG network or vpn access) The goal of the subject is the presentation of basic problems resulting from he existence of interfacebetween material objects...