Search results for: DATA-DRIVEN OPTIMIZATION - Bridge of Knowledge

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Search results for: DATA-DRIVEN OPTIMIZATION

Search results for: DATA-DRIVEN OPTIMIZATION

  • Numerical optimization of planar antenna structures using trust-region algorithm with adaptively adjusted finite differences

    Open Research Data
    open access

    The dataset contains initial designs and optimization results for three planar structures that include quasi-patch antenna for WLAN applications, compact spline-parameterized monopole dedicated for ultra-wideband applications, as well as rectifier for energy harvesting with enhanced bandwidth. The numerical results for the first two structures are also...

  • SIMULIA Optimization Day

    Events

    30-05-2019 09:00 - 30-05-2019 14:00

    Centrum Informatyczne TASK oraz BUDSOFT zapraszają na seminarium "SIMULIA Optimization Day". Więcej informacji na stronie internetowej: https://task.gda.pl/nowosci/2019/simulia-optimization-day/

  • Factors disturbing Internet usage in opinion of elderly users

    Publication

    Internet became truly widespread in modern societies. This created its huge economic potential, which is widely used, especially in traditionally communication-oriented societies like USA and Scandinavian countries. This trend enables to create economic growth even despite of worldwide economic slowdown.Together with demographic changes this raise the necessity of research on how older users perceive modern, Internet-based tools...

  • Consumerism and the Quality of Life

    Publication

    High level of consumption, driven by marketing activities, the pleasure and joy of possession and the accumulation of material goods are often associated with prosperity, sense of happiness and fulfilment in life. On a broader scale, economic indicators related to production and consumption are used to define the well-being and quality of life in societies. Unfortunately, the phenomenon of consumerism entails negative social and...

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  • The effect of a belt position in the spindle driving system on critical rotational speeds

    Publication

    The aim of this paper was to examine how the belt pulley position affects critical rotational speeds of the modernized spindle of the sliding table saw Fx3. Methodology of determination of critical rotational speeds of the spindle in a function of the spindle design features and its driving system is presented. Spindles in these kind of machine tools are mainly driven with V-belts, and the pulleys on the spindles might be positioned:...

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  • Palladium versus Platinum: The Metal in the Catalytic Center of a Molecular Photocatalyst Determines the Mechanism of the Hydrogen Production with Visible Light

    Publication
    • M. Pfeffer
    • B. Schaefer
    • G. Smolentsev
    • J. Uhlig
    • E. Nazarenko
    • J. Guthmuller
    • C. Kuhnt
    • M. Wachtler
    • B. Dietzek
    • V. Sundstrom
    • S. Rau

    - ANGEWANDTE CHEMIE-INTERNATIONAL EDITION - Year 2015

    To develop highly efficient molecular photocatalysts for visible light-driven hydrogen production, a thorough understanding of the photophysical and chemical processes in the photocatalyst is of vital importance. In this context, in situ X-ray absorption spectroscopic (XAS) investigations show that the nature of the catalytically active metal center in a (N^N)MCl2 (M=Pd or Pt) coordination sphere has a significant impact on the...

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  • AC-DC-DC Converter for Small Power Energy Storage Systems

    Publication

    - ENERGIES - Year 2023

    The energy transformation driven by the development of renewable energy sources has become a reality for all power grid users. Prosumer energy, primarily utilizing photovoltaic installations, is one of the fastest-growing market segments. The advancement of technology, a decrease in electrochemical energy storage prices, and changes in the legal framework governing energy billing for grid-fed power have led to a growing interest...

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  • Miniaturized Solid Phase Extraction techniques for different kind of pollutants analysis: State of the art and future perspectives – PART 1

    Publication

    - TRAC-TRENDS IN ANALYTICAL CHEMISTRY - Year 2023

    Solid Phase Extraction (SPE) has been practiced in a modern form for more than half a century. It was constantly developing, driven by the analysts needs. These needs are coming from the importance to select an appropriate analytical method, which should have satisfactory accuracy, precision and sensitivity. In the case of sorbent-based microextraction techniques, the choice of miniaturized variants that meet these requirements...

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  • Influence of external climate on natural ventilation performance in buildings

    Publication

    - Year 2015

    Natural ventilation is driven by either buoyancy forces or wind pressure forces or their combinations that inherit stochastic variation into ventilation rates [ CITATION Hun99 \l 1045 ]. We now that these factors have influence on air flow speed and thermal comfort inside building. This work examines the relationship between external climate and natural ventilation including thermal comfort. The work tries in the first instance...

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  • Interline power flow controller - properties and control strategy in dynamic states

    Publication

    - Year 2005

    High-power electronic converter topologies, in such forms as Unified Power Flow Controllers (UPFC), Static Compensators (STATCOM) and Interline Power Flow Controllers (IPFC), have been used to enhance and optimize the use of transmission facilities, under the concept of a flexible ac transmission system (FACTS). In Europe, the anticipated proliferation of distributed-generation (DG) in the near future, driven by governmental initiatives...

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  • Deep Learning: A Case Study for Image Recognition Using Transfer Learning

    Publication

    - Year 2021

    Deep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...

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  • Deep Learning

    Publication

    - Year 2021

    Deep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...

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  • Small Urban Hacks - Big Impact! Tackling major urban challenges through acupunctural smallness

    Publication
    • D. D. Kamrowska-Załuska
    • D. Calas
    • E. Haselsteiner,
    • M. Ferreira SILVA
    • A. Galán González
    • E. Giancola
    • M. Hărmănescu
    • S. Soutullo Castro

    - Year 2021

    Small urban hacks, acupunctural action and process-oriented planning approaches might appear to address quite a socio-romantic attitude towards our urban environments. In this chapter, our aim is to remedy such a biased view, demonstrating the impact and potential of smallness in the context of major urban challenges. Small urban hacks and their multi-faceted and creativity-driven approaches of small is beautiful are selected from...

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  • Optimization model of agile team’s cohesion

    Publication

    - Procedia Computer Science - Year 2014

    Team’s cohesion is one of the most important factors of IT project execution effectiveness. Optimization of team’s cohesion gives the possibility of reducing the risk of project failure. It also allows to increase the teamwork efficiency and thus optimize time of tasks execution, increase the guarantee of maintaining the scope of the project and the chance of achieving a given level of products quality. This article presents determination...

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  • JOURNAL OF CHEMICAL AND ENGINEERING DATA

    Journals

    ISSN: 0021-9568 , eISSN: 1520-5134

  • Constrained aerodynamic shape optimization using neural networks and sequential sampling

    Publication

    - Year 2023

    Aerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...

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  • Optimization issues in distributed computing systems design

    Publication

    - Year 2014

    In recent years, we observe a growing interest focused on distributed computing systems. Both industry and academia require increasing computational power to process and analyze large amount of data, including significant areas like analysis of medical data, earthquake, or weather forecast. Since distributed computing systems – similar to computer networks – are vulnerable to failures, survivability mechanisms are indispensable...

  • Optimization of Train Energy Cooperation Using Scheduled Service Time Reserve

    Publication

    - ENERGIES - Year 2021

    The main aim of the paper was to develop an innovative approach to the preliminary estimation possibility of train energy cooperation based on data from timetables, without traction calculations. The article points out the need to strive for sustainable and environmentally friendly transport. It was pointed out that rail transport using electric traction is one of the more ecological branches of transport. It also offers a number...

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  • Solar Photovoltaic Energy Optimization and Challenges

    Publication

    - Frontiers in Energy Research - Year 2022

    The study paper focuses on solar energy optimization approaches, as well as the obstacles and concerns that come with them. This study discusses the most current advancements in solar power generation devices in order to provide a reference for decision-makers in the field of solar plant construction throughout the world. These technologies are divided into three groups: photovoltaic, thermal, and hybrid (thermal/photovoltaic)....

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  • Bioreactors and biophoton-driven biohydrogen production strategies

    Publication
    • S. Anjum
    • S. Aslam
    • N. Hussain
    • M. Bilal
    • G. Boczkaj
    • W. Smułek
    • T. Jesionowski
    • H. M. Iqbal

    - INTERNATIONAL JOURNAL OF HYDROGEN ENERGY - Year 2023

    Given the current issues with global warming and rising greenhouse gas emissions, biohydrogen is a viable alternative fuel option. Technologies to produce biohydrogen include photo fermentation, dark fermentation, direct and indirect bio-photolysis, and two-stage fermentation. Biological hydrogen generation is a green and promising technique with mild reaction conditions and low energy consumption compared to thermochemical and...

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  • A structure and simulation-driven design of compact CPW-fed UWB antenna

    In this letter, a structure of a miniaturized ultra-wideband CPW-fed antenna and its design proce-dure are presented. The antenna is a modified version of the design previously proposed in the literature, with additional degrees of freedom introduced in order to improve the structure flexibility. The small size is achieved by executing a rigorous optimization procedure that consists of two stages: (i) smart random search carried...

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  • Simulation-driven design of compact ultra-wideband antenna structures

    Purpose–The purpose of this paper is to investigate strategies and algorithms for expedited designoptimization and explicit size reduction of compact ultra-wideband (UWB) antennas.Design/methodology/approach–Formulation of the compact antenna design problem aiming atexplicit size reduction while maintaining acceptable electrical performance is presented. Algorithmicframeworks are described suitable for handling various design situations...

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  • Solar Photovoltaic Energy Optimization and Challenges

    Publication

    The study paper focuses on solar energy optimization approaches, as well as the obstacles and concerns that come with them. This study discusses the most current advancements in solar power generation devices in order to provide a reference for decision-makers in the field of solar plant construction throughout the world. These technologies are divided into three groups: photovoltaic, thermal, and hybrid (thermal/photovoltaic)....

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  • Computationally Efficient Design Optimization of Compact Microwave and Antenna Structures

    Publication

    - Year 2016

    Miniaturization is one of the important concerns of contemporary wireless communication systems, especially regarding their passive microwave components, such as filters, couplers, power dividers, etc., as well as antennas. It is also very challenging, because adequate performance evaluation of such components requires full-wave electromagnetic (EM) simulation, which is computationally expensive. Although high-fidelity EM analysis...

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  • Technical physics (Data Engineering)_22/23

    e-Learning Courses
    • D. Głowienka
    • S. Bielski

    Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

  • Technical physics (Data Engineering)_23/24

    e-Learning Courses
    • D. Głowienka
    • S. Bielski
    • A. Sbai
    • R. C. Sia

    Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

  • Basics of Data Warehouses Path

    e-Learning Courses
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka
    • K. Goczyła

    Within this path the basic aspects of data warehouses (architecture, star schema, etc.) are discussed. The course is intended for students of the 1st degree of Informatics Field (semester 5) -  Kurs planowany dla studentów I stopnia kierunku informatyka (semestr 5) - przedmiot Hurtownie danych oraz dla studentów II stopnia kierunku informatyka, specjalność ZAD.

  • Data Structures (Doctoral Studies) - New

    e-Learning Courses
    • K. Goczyła

    The course is designed to provide students with the knowledge regarding basic data structures and associated algorithms used in broad range of applications. Students will also gain knowledge about how to evaluate the quality of algorithms in the context of time and space usage. Additionally, during seminars, students get familiar with biographies of most famous creators of the algorithms.

  • Study of Integer Spin S = 1 in the Polar Magnet β-Ni(IO3)2

    Publication

    - MOLECULES - Year 2021

    Polar magnetic materials exhibiting appreciable asymmetric exchange interactions can potentially host new topological states of matter such as vortex-like spin textures; however, realizations have been mostly limited to half-integer spins due to rare numbers of integer spin systems with broken spatial inversion lattice symmetries. Here, we studied the structure and magnetic properties of the S = 1 integer spin polar magnet β-Ni(IO3)2...

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  • Ontology-Aided Software Engineering

    Publication

    - Year 2012

    This thesis is located between the fields of research on Artificial Intelligence (AI), Knowledge Representation and Reasoning (KRR), Computer-Aided Software Engineering (CASE) and Model Driven Engineering (MDE). The modern offspring of KRR - Description Logic (DL) [Baad03] is considered here as a formalization of the software engineering Methods & Tools. The bridge between the world of formal specification (governed by the mathematics)...

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  • BIG PROBLEMS WITH BIG DATA

    Publication

    - TASK Quarterly - Year 2020

    The article presents an overview of the most important issues related to the phenomenon called big data. The characteristics of big data concerning the data itself and the data sources are presented. Then, the big data life cycle concept is formulated. The next sections focus on two big data technologies: MapReduce for big data processing and NoSQL databases for big data storage.

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  • Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing

    Developing signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....

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  • Attitudes of oncology patients’ towards biospecimen donation for biobank research

    Publication

    - BMC CANCER - Year 2024

    Background Since the biological material that remains after diagnostic and therapeutic procedures plays crucial role in biobank research, this study aims to explore cancer patients’ views on the donation of biospecimens for research purposes. Methods 548 oncology patients from two hospitals with oncology treatment units in Poznan, Poland,...

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  • Data on LEGO sets release dates and worldwide retail prices combined with aftermarket transaction prices in Poland between June 2018 and June 2023

    Publication

    - Data in Brief - Year 2024

    The dataset contains LEGO bricks sets item count and pricing history for AI-based set pricing prediction. The data spans the timeframe from June 2018 to June 2023. The data was obtained from three sources: Brickset.com (LEGO sets retail prices, release dates, and IDs), Lego.com official web page (ID number of each set that was released by Lego, its retail prices, the current status of the set) and promoklocki.pl web page (the retail...

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  • Rotational Design Space Reduction for Cost-Efficient Multi-Objective Antenna Optimization

    Publication

    Cost-efficient multi-objective design of antenna structures is presented. Our approach is based on design space reduction algorithm using auxiliary single-objective optimization runs and coordinate system rotation. The initial set of Pareto-optimal solutions is obtained by optimizing a response surface approximation model established in the reduced space using coarse-discretization EM simulation data. The optimization engine is...

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  • Data on the identification of microsatellite markers in Eisenia fetida and Eisenia andrei

    Publication
    • M. Jaskulak
    • F. Vandenbulcke
    • A. Rorat
    • M. Pauwels
    • K. Zorena
    • P. Grzmil
    • B. Płytycz

    - Data in Brief - Year 2022

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  • Big Data and the Internet of Things in Edge Computing for Smart City

    Publication

    - Year 2019

    Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...

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  • [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2022/23

    e-Learning Courses
    • J. Górski
    • K. Winkelmann
    • M. Skowronek

  • [ILiT, IŚGiE] Reliability-Based Optimization (RBO) - 2023/24

    e-Learning Courses
    • J. Górski
    • K. Winkelmann
    • M. Skowronek

  • The lemniscate knowledge flow model

    Knowledge is seen as one of the main resources for organizations providing knowledge-intensive services. Therefore, sharing and reusing are the main goals of modern knowledge management (KM) approach, driven by information and communication technologies (ICT). However, one can ask for the details in order to provide means and tools to design and deploy environment able to fulfil these two goals. We observed that occurred interactions...

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  • Reliable low-cost surrogate modeling and design optimisation of antennas using implicit space mapping with substrate segmentation

    Abstract: In this work, a reliable methodology for fast simulation-driven design optimisation of antenna structures is proposed. The authors’ approach exploits implicit space mapping (ISM) technology. To adopt it for handling antenna structures, they introduce substrate segmentation with separate dielectric permittivity value assigned for each segment as ISM preassigned parameters. At the same time, the coarse model for space mapping...

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  • High Rise Building: The Mega Sculpture Made Of Steel, Concrete and Glass

    High rise building has transformed from providing not only the expansion of floor space but functioning as mega sculpture in the city. The shift away from economic efficiency driven need is only expected to grow in the future. Based on literature studies; after analysing planning documents and case studies, it was examined whether the presumption that gaining the maximum amount of usable area is the only driving factor; or if the...

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  • IDENTIFICATION OF THE INTERFECE OF LATERAL SLIDE BEARINGS

    Publication

    In the paper, the model of slide bearings of motor engine, the metodology of research on this type of bearings and its results are presented measurement standpoint consisting of main elements of Briggs & Stratton 550 serie 10 T 802 model piston motor engine driven by three phase elektric engine is introduced . On the measurement standpoint are measurements were done, needed for specification...

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  • Compensation of pressure peaks in pwk-type hydraulic pumps

    Publication

    - Key Engineering Materials - Year 2012

    hydraulic axial pumps equipped with cam-driven commutation unit (pwk pumps) proved their high efficiency up to 55 mpa and ability to work self-sucking, even at high speed. displacement of pwk pump may easily be changed by moving its control cam. full discharge from hydrostatic forces makes such control possible by direct action of a low-energy actuator like proportional electromagnet or stepping motor. that eliminates heavy and...

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  • Hydrogen Production Mechanism in Low-Temperature Methanol Decomposition Catalyzed by Ni3Sn4 Intermetallic Compound: A Combined Operando and Density Functional Theory Investigation

    Publication
    • S. Mauri
    • G. D'Olimpio
    • C. Ghica
    • L. Braglia
    • C. Kuo
    • M. C. Istrate
    • C. S. Lue
    • L. Ottaviano
    • T. Klimczuk
    • D. W. Boukhvalov... and 2 others

    - Journal of Physical Chemistry Letters - Year 2023

    Hydrogen production from methanol decomposition to syngas (H2 + CO) is a promising alternative route for clean energy transition. One major challenge is related to the quest for stable, cost-effective, and selective catalysts operating below 400 °C. We illustrate an investigation of the surface reactivity of a Ni3Sn4 catalyst working at 250 °C, by combining density functional theory, operando X-ray absorption spectroscopy, and high-resolution...

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  • Detailed investigation of the phase transition inKxP4W8O32and experimental arguments for a charge density wave due to hidden nesting

    Publication
    • K. Kolincio
    • O. Pérez
    • S. Hébert
    • P. Fertey
    • A. Pautrat

    - PHYSICAL REVIEW B - Year 2016

    Detailed structural and magnetotransport properties of monophosphate tungsten bronze Kx(PO2)4(WO3)8 single crystals are reported. Both galvanomagnetic and thermal properties are shown to be consistent with a charge density wave electronic transition due to hidden nesting of the quasi-1D portion of the Fermi surface. We also observe the enhancement of electronic anisotropy due to reconstruction of the Fermi surface at the Peierls...

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  • RECODIS: Resilient Communication Services Protecting End-user Applications from Disaster-based Failures

    Publication
    • J. Rak
    • D. Hutchison
    • E. Calle
    • T. Gomes
    • M. Gunkel
    • P. Smith
    • J. Tapolcai
    • S. Verbrugge
    • L. Wosinska

    - Year 2016

    Disaster-based failures can seriously disrupt any communication network, making its services unavailable. Such disruptions may be caused by natural disasters, technology-related failures, or malicious attacks, and they are observably increasing in number, intensity and scale. When network services that are a part of critical infrastructure become unavailable, commercial and/or societal problems are inevitable. The issue of limiting...

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  • A 1-nS 1-V Sub-1-µW Linear CMOS OTA with Rail-to-Rail Input for Hz-Band Sensory Interfaces

    The paper presents an operational transconductance amplifier (OTA) with low transconductance (0.62–6.28 nS) and low power consumption (28–270 nW) for the low-frequency analog front-ends in biomedical sensor interfaces. The proposed OTA implements an innovative, highly linear voltage-to-current converter based on the channel-length-modulation effect, which can be rail-to-rail driven. At 1-V supply and 1-Vpp asymmetrical input driving,...

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  • Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario

    Publication

    - CYBERNETICS AND SYSTEMS - Year 2018

    Computer 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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  • Big Data processing frameworks - 2022

    e-Learning Courses
    • A. Przybyłek

    Informatics, postgraduate studies Data Engineering, undergraduate studies