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    Wyświetlanie 1-13 z 13
    Tytuł:
    A Survey on WSN and MCN Convergence Networks
    Autorzy:
    Swain, Anita
    Ray, Arun Kumar
    Powiązania:
    https://bibliotekanauki.pl/articles/308703.pdf
    Data publikacji:
    2020
    Wydawca:
    Instytut Łączności - Państwowy Instytut Badawczy
    Tematy:
    IPv4
    MAC layer
    machine-to-machine network
    QoS
    Opis:
    In this paper, we present a survey concerned with research focusing on the convergence of wireless sensor networks (WSN) and mobile cellular networks (MCN). The convergence of WSNs and MCNs may be a trigger stimulating new research dealing with such issues as architecture, protocols and air interfaces. The highlights and constraints of the phenomenon are discussed in this paper as well. The survey deals with convergence networks and with their smarty city applications. A few open research issues are also brought to the attention of researchers specializing in this field.
    Źródło:
    Journal of Telecommunications and Information Technology; 2020, 1; 39-49
    1509-4553
    1899-8852
    Pojawia się w:
    Journal of Telecommunications and Information Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Energy Saving Chaotic Sequence Based Encryption, Authentication and Hashing for M2M Communication of IoT Devices
    Autorzy:
    Kościug, Bartosz
    Bilski, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/27311876.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    Power optimization
    Security protocols
    machine to machine communications
    Application layer protocols
    IoT
    Opis:
    In this paper, the secure low-power Internet of Things (IoT) transmission methods for encryption and digital signature are presented. The main goal was to develop energyefficient method to provide IoT devices with data confidentiality, integrity, and authenticity. The cryptograph energy efficient and security algorithms modifications for IoT domain were made. The novelty in our solution is the usage of encryption method popular in the image processing in the domain of the Internet of Things. Proposed modification improves immunity for the brute-force and plain-text attacks. Furthermore, we propose the modifications for hash calculation method to transform it into digital signature calculation method that is very sensitive to input parameters. The results indicate low energy consumption of both methods, however it varies significantly depending on the architecture of the devices.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 2; 253--259
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impact of the Internet of Things on the economy and society
    Wpływ internetu rzeczy na gospodarkę i społeczeństwo
    Autorzy:
    Szewczyk, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/321750.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    internet of things (IoT)
    machine-to-machine communication
    wireless sensor networks
    big data
    Internet Rzeczy
    komunikacja maszyny z maszyną
    sieć bezprzewodowych czujników
    gigadane
    Opis:
    The IoT (Internet of Things) is a pervasive innovative technology building on the universal connectivity of things and people. The emergence of the IoT is a global phenomenon, but there is still much discussion about the rate of growth, the most attractive market development opportunities, and the challenges to be met in a wide range of issues, from privacy and security, to the governance of these complex systems. In this paper the role of IoT in the general world economy and, in particular, what concerns the state and level of development of an enterprise will be presented.
    Internet Rzeczy (IRz) staje się wszechobecną technologią innowacyjną, tworzoną w celu umożliwienia uniwersalnej łączności rzeczy i ludzi. Pojawienie się IRz jest zjawiskiem globalnym. W artykule zostanie przedstawiona rola Internetu Rzeczy w ogólnej gospodarce światowej, a w szczególności w zakresie stanu i poziomu rozwoju przedsiębiorstwa.
    Źródło:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska; 2016, 93; 461-470
    1641-3466
    Pojawia się w:
    Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    IoT : review of critical issues
    Autorzy:
    Romaniuk, R. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/226508.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Internet of Things
    IoT
    industrial IoT
    machine to machine communications
    industry 4.0
    IoT civilization
    artificial super-intelligence
    cyber-man
    future of work
    Opis:
    Science - research transformation of the Internet of Things (IoT) has a number of colours and shadows, many dimensions including technical, social, community, financial, economic and civilization. This transformation has many wide development roads but also numerable pitfalls and traps. It does not take place solely at the level of scientific and technical progress and innovation. It preliminarily takes place in a complex sociopolitical-economic context, narrowed for simplification as social acceptance and education only. Such acceptance, for example expressed simply by demand and market popularity, for simple items supplemented by useful functions, such as an iron that recognizes the type of fabric and matches its work accordingly, a completely autonomous vacuum cleaner, etc., is trivial. We aim at much deeper relations of IoT with society. If IoT were only adding such functionalities, it would not be worth the time to consider it here. IoT causes a lot of confusion for much more important reasons in many areas of life. Somewhere further on the potential paths of IoT development, it has been noted with interest, but also with anxiety, the possibility of its empowerment as local but also global, superintendent surveillance system, gathering enormous amounts of information, creating knowledge and making autonomous decisions. Potential subjectivity must include such attributes as acquiting from the creator, autonomy, consciousness, morality and further building by the society the whole legal system around the new entity. It will not be a single entity, it will be a whole virtual society, with electronic people. The consequences can be far-reaching and appear as an inevitable option on such a scale for the first time in the history of our human society. Overcoming certain barriers recognized by us may mean that the intelligence and consciousness are not only attributes of the human biological mind. Such reasoning, not without a reason, encounters strong resistance. However, there is a fundamental difference between the opposition to some genetic research and the potential modification of man himself, and the opposition to machine building, a system of superintendence that far exceeds the possibilities of a single man and of entire societies.
    Źródło:
    International Journal of Electronics and Telecommunications; 2018, 64, 1; 95-102
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A holistic study on the use of blockchain technology in CPS and IoT architectures maintaining the CIA triad in data communication
    Autorzy:
    Bhattacharjya, Aniruddha
    Powiązania:
    https://bibliotekanauki.pl/articles/2172111.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    CPS
    blockchain Internet of things
    IIoT
    DDoS
    ARP spoofing
    M2M
    machine-to-machine
    peer-to-peer system
    P2P
    CIA triad
    Internet rzeczy
    ARP
    peer-to-peer
    Opis:
    Blockchain-based cyber-physical systems (CPSs) and the blockchain Internet of things (BIoT) are two major focuses of the modern technological revolution. Currently we have security attacks like distributed denial-of-service (DDoS), address resolution protocol (ARP) spoofing attacks, various phishing and configuration threats, network congestion, etc. on the existing CPS and IoT architectures. This study conducts a complete survey on the flaws of the present centralized IoT system’s peer-to-peer (P2P) communication and the CPS architecture’s machine-to-machine (M2M) communication. Both these architectures could use the inherent consensus algorithms and cryptographic advantages of blockchain technology. To show how blockchain technology can resolve the flaws of the existing CPS and IoT architectures while maintaining confidentiality, integrity, and availability (the CIA triad), we conduct a holistic survey here on this topic and discuss the research focus in the domain of the BIoT. Then we analyse the similarities and dissimilarities of blockchain technology in IoT and CPS architectures. Finally, it is well understood that one should explore whether blockchain technology will give advantages to CPS and IoT applications through a decision support system (DSS) with a relevant mathematical model, so here we provide the DSS with such a model for this purpose.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 403--413
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forth Industrial Revolution (4 IR): Digital Disruption of Cyber – Physical Systems
    Autorzy:
    Kasza, Joanna
    Powiązania:
    https://bibliotekanauki.pl/articles/1058063.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Forth Industrial Revolution (4IR)
    H2M (human to machine) communication
    Industrial Internet of Things (IIOT)
    Industry 4.0
    Internet of Things (IOT)
    M2H (machine to human)
    M2M (machine to machine)
    SMAC (social
    Smart Manufacturing
    analytics and cloud)
    artificial intelligence (AI)
    cyber-physical systems
    digital disruption (disruptive innovations)
    infosphere
    mobile
    pervasive computing
    philosophy of information
    semantic web
    symbiotic and ubiquitous web
    Opis:
    Article focus of the disruptive character of technological innovations brought by Fourth Industrial Revolution (4IR), with its unprecedented scale and scope, and exponential speed of incoming innovations, described from the point view of ‘unintended consequences’ (cross cutting impact of disruptive technologies across many sectors and aspects of human life). With integration of technology innovations emerging in number of fields including advanced robotics, pervasive computing, artificial intelligence, nano- and bio- technologies, additive and smart manufacturing, Forth Industrial Revolution introduce new ways in which technology becomes embedded not only within the society, economy and culture, but also within human body and mind (described by integration of technologies, collectively referred to as cyber-physical systems). At the forefront of digital transformation, based on cyber physical systems, stands Industry 4.0, referring to recent technological advances, where internet and supporting technologies (embedded systems) are serving as framework to integrate physical objects, human actors, intelligent machines, production lines and processes across organizational boundaries to form new kind of intelligent, networked value chain, called smart factory. Article presents broader context of ‘disruptive changes (innovations)’ accompanying 4IR, that embrace both economical perspective of ‘broader restructuring’ of modern economy and society (described in second part of the article as transition from second to third and forth industrial revolution), and technological perspective of computer and informational science with advances in pervasive computing, algorithms and artificial intelligence (described in third part of article with different stages of web development : web 1.0, web 2.0, web 3.0, web 4.0). What’s more important, article presents hardly ever described in literature, psychological and philosophical perspective, more or less subtle reconfiguration made under the influence of these technologies, determining physical (body), psychological (mind) and philosophical aspect of human existence (the very idea of what it means to be the human), fully depicted in the conclusion of the article. The core element (novelty) is the attempt to bring full understanding and acknowledgment of disruptive innovations’, that “change not only of the what and the how things are done, but also the who we are”, moving beyond economical or technological perspective, to embrace also psychological and philosophical one.
    Źródło:
    World Scientific News; 2019, 134, 2; 118-147
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Development of a new high-pressure cooling system for machining of difficulut-to-machine materials
    Autorzy:
    Tanabe, Ikuo
    Yamagami, Yuhta
    Hoshino, Hideo
    Powiązania:
    https://bibliotekanauki.pl/articles/100031.pdf
    Data publikacji:
    2020
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    difficult-to-machine materials
    forced cooling
    machining
    coolant
    Opis:
    In recent years, titanium alloys and nickel alloys have become eminent for making aeronautic and astronautic parts. Since both nickel and titanium alloys have a very small thermal conductivity, the being used tool will suffer from huge damage by heat generated during the grinding process. Therefore, there is a requirement for a durable tool with excellent cooling capacity. In this research, the technology regarding the new forced cooling using with high-pressure coolant for machining difficult-to-machine material was developed and evaluated. A through-hole in the near the tip on the rake face of the turning tool is firstly machined by electrical discharge machining. High-pressure coolant was then supplied to the turning tool from the hole on the bottom of the tool. Several values of pressure were tried in many experiments. It is concluded from the results that; (1) a new forced cooling method in the form of drilling a hole at the tip of the tool from which supply high-pressure coolant, a tool temperature decrease and a tool-life prolongation could be achieved, (2) the technology could effectively cool near the tip of turning tool, (3) the chip was effectively broken by the high pressure, (4) It was confirmed that the tool cutting edge condition was stabilized, the surface roughness of the machined workpieces was improved, the tool hardness was maintained and the tool-life was prolonged due to the cooling effect of the devised tool.
    Źródło:
    Journal of Machine Engineering; 2020, 20, 1; 82-97
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The influence of chemical composition of tough-to-machine steels on grinding technologies
    Autorzy:
    Ivanova, T. N.
    Korshunov, A. I.
    Božek, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/409674.pdf
    Data publikacji:
    2018
    Wydawca:
    STE GROUP
    Tematy:
    tough-to-machine materials
    chemical composition
    structure
    grinding
    grinding wheels
    Opis:
    The main purpose of processing of tough-to-machine materials is improving of cutting process of steels with different physicochemical properties and alloying by means of various chemical elements in combination with heat treatment. Producing of high quality surface layers depends on properties of material used to make details, that is why reasons of tough machining were identified: influence of chemical composition and resulting structure. The studies of grinding of tough-to-machine materials were undertaken by means of grinding wheels made from synthetic diamonds as they are most resistant and highly-productive. Based on the studies recommendations for using of characteristics of grinding wheels and tough-to machine steel grades are given. Research on heat processes during grinding allows us to determine patterns showing how cutting speed, detail motion speed, area and action period of contact influence temperature and speed of heat processes in surface layers as well as depth of heating. These patterns also give the chance to show interrelation between temperature and rate of heating and cooling. This gives an opportunity to predict state of structure of surface layer of details made of tough-to-machine steels under different machining conditions reasonably.
    Źródło:
    Management Systems in Production Engineering; 2018, 3 (26); 172-177
    2299-0461
    Pojawia się w:
    Management Systems in Production Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Control of squirrel-cage electric generators in a parallel intermediate DC circuit connection
    Autorzy:
    Kozak, M.
    Gordon, R.
    Bejger, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/135529.pdf
    Data publikacji:
    2016
    Wydawca:
    Akademia Morska w Szczecinie. Wydawnictwo AMSz
    Tematy:
    back-to-back
    DC link
    power distribution
    VSI
    FOC
    power machine
    Opis:
    The paper covers the theoretical background and tests of two asynchronous squirrel cage generators connected to voltage source inverters working in parallel. Inverters were connected in parallel by their intermediate direct current circuits by means of auctioneering diodes, and then to a DC power network. The real-time control algorithm of digital signal processor DSP and field-programmable gate array FPGA was used to achieve proper excitation of two different power machines, and to maintain high enough levels of direct current link voltage. Windings of both generators are fed by use of so-called machine side inverters. The asynchronous generator is a voltage source inverter controlled by a field-oriented control algorithm based on the current machine model. To prove robustness of the chosen algorithm, different types of load were applied while generators and inverters worked in parallel.
    Źródło:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2016, 45 (117); 17-22
    1733-8670
    2392-0378
    Pojawia się w:
    Zeszyty Naukowe Akademii Morskiej w Szczecinie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    How to fly to safety without overpaying for the ticket
    Autorzy:
    Kaczmarek, Tomasz
    Grobelny, Przemysław
    Powiązania:
    https://bibliotekanauki.pl/articles/9252090.pdf
    Data publikacji:
    2023-07-19
    Wydawca:
    Uniwersytet Ekonomiczny w Poznaniu
    Tematy:
    asset allocation strategy
    target volatility
    flight-to-safety
    recurrent neural networks
    machine learning
    Opis:
    For most active investors treasury bonds (govs) provide diversification and thus reduce the risk of a portfolio. These features of govs become particularly desirable in times of elevated risk which materialize in the form of the flight-to-safety (FTS) phenomenon. The FTS for govs provides a shelter during market turbulence and is exceptionally beneficial for portfolio drawdown risk reduction. However what if the unsatisfactory expected return from treasuries discourages higher bonds allocations? This research proposes a solution to this problem with Deep Target Volatility Equity-Bond Allocation (DTVEBA) that dynamically allocate portfolios between equity and treasuries.
    Źródło:
    Economics and Business Review; 2023, 9, 2; 160-183
    2392-1641
    Pojawia się w:
    Economics and Business Review
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Concept of Peer-to-Peer Lending and Application of Machine Learning in Credit Scoring
    Autorzy:
    Klimowicz, Aleksy
    Spirzewski, Krzysztof
    Powiązania:
    https://bibliotekanauki.pl/articles/2053921.pdf
    Data publikacji:
    2021-12-20
    Wydawca:
    Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
    Tematy:
    artificial intelligence
    peer-to-peer lending
    credit risk assessment
    credit scorecards
    logistic regression
    machine learning
    Opis:
    Numerous applications of AI are found in the banking sector. Starting from the front-office, enhancing customer recognition and personalized services, continuing in the middle-office with automated fraud-detection systems, ending with the back-office and internal processes automatization. In this paper we provide comprehensive information on the phenomenon of peer-to-peer lending in the modern view of alternative finance and crowdfunding from several perspectives. The aim of this research is to explore the phenomenon of peer-to-peer lending market model. We apply and check the suitability and effectiveness of credit scorecards in the marketplace lending along with determining the appropriate cut-off point. We conducted this research by exploring recent studies and open-source data on marketplace lending. The scorecard development is based on the P2P loans open dataset that contains repayments record along with both hard and soft features of each loan. The quantitative part consists in applying a machine learning algorithm in building a credit scorecard, namely logistic regression.
    Źródło:
    Journal of Banking and Financial Economics; 2021, 2(16); 25-55
    2353-6845
    Pojawia się w:
    Journal of Banking and Financial Economics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Health index synthetization and remaining useful life estimation for turbofan engines based on run-to-failure datasets
    Synteza wskaźników stanu technicznego oraz ocena pozostałego okresu użytkowania silników turbowentylatorowych z wykorzystaniem zbiorów danych o pracy do czasu uszkodzenia
    Autorzy:
    Shi, J.
    Li, Y.
    Wang, G.
    Li, X.
    Powiązania:
    https://bibliotekanauki.pl/articles/301447.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    hierarchical clustering
    relevance vector machine
    run-to-failure
    remaining useful life
    health indices
    prognostics
    grupowanie hierarchiczne
    maszyna wektorów istotnych
    praca do czasu uszkodzenia
    pozostały okres użytkowania
    wskaźnik stanu technicznego
    prognostyka
    Opis:
    Turbofan engines will gradually degrade until failure occurs or life ends if without maintenance. Reliable degradation assessment and remaining useful life (RUL) estimation make sense on both aviation safety and rational maintenance decisions. This paper proposes a data-driven prognostic method on the premise of run-to-failure (RtF) data which are multivariate sensory data collected from the engines operating from normal to failure. After necessary pre-processing to the data, clustering analysis is executed to generate the clusters which represent the multi-states of the degradation process. The failure state cluster is extracted, and then the distance between the pre-processed data and the cluster is calculated. Therefore, one-dimensional time series are generated and defined as the health indices. Afterwards the degradation models are built based on the health indices. Finally, the RUL of a testing unit can be estimated by similarity analysis with the models. Hierarchical clustering (HC) and relevance vector machine (RVM) are the main algorithms employed in this paper. To validate the proposition, a case study is performed on turbofan engines data from Prognostics Center of Excellence (PCoE) at NASA Ames Research Center, and sufficient comparisons were given.
    Silniki turbowentylatorowe niepoddane konserwacji ulegają stopniowej degradacji aż do czasu wystąpienia uszkodzenia lub zakończenia cyklu życia. Rzetelna ocena degradacji oraz pozostałego okresu użytkowania (RUL) mają wpływ zarówno na bezpieczeństwo maszyn lotniczych jak i racjonalne podejmowanie decyzji dotyczących utrzymania ruchu. W artykule zaproponowano sterowaną danymi metodę prognostyczną opartą na danych o pracy do czasu uszkodzenia (run-to failure, RTF), które są wielowymiarowymi danymi sensorycznymi zbieranymi podczas normalnej pracy silnika aż do jego uszkodzenia. Po niezbędnej wstępnej obróbce danych, przeprowadzono analizę skupień w celu wygenerowania skupień reprezentujących multi-stany procesu degradacji. Wyodrębniono klaster stanów uszkodzenia, a następnie obliczono odległość między wstępnie przetworzonymi danymi a wyodrębnionym klastrem. Następnie wygenerowano jednowymiarowe szeregi czasowe, które zdefiniowano jako wskaźniki stanu technicznego. Na podstawie tych wskaźników zbudowano modele degradacji. Wreszcie, w oparciu o analizę podobieństwa do opracowanych modeli oceniono RUL jednostki testowej. Główne algorytmy zastosowane w niniejszym opracowaniu to algorytmy grupowania hierarchicznego (HC) oraz maszyny wektorów istotnych (RVM). Aby zweryfikować zaproponowaną w pracy metodę, przeprowadzono studium przypadku z wykorzystaniem danych dot. silników turbowentylatorowych pochodzące z Prognostic Center of Excellence (PCoE) przy NASA Ames Research Center oraz przedstawiono odpowiednie porównania.
    Źródło:
    Eksploatacja i Niezawodność; 2016, 18, 4; 621-631
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Problems of forecasting the length of the assembly cycle of complex products realized in the MTO (make-to-order) model
    Problematyka prognozowania długości cyklu montażu wyrobów złożonych realizowanych w modelu MTO (make-to-order)
    Autorzy:
    Brzozowska, Jolanta
    Gola, Arkadiusz
    Kulisz, Monika
    Powiązania:
    https://bibliotekanauki.pl/articles/31232972.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Rzeszowska im. Ignacego Łukasiewicza. Oficyna Wydawnicza
    Tematy:
    assembly cycle
    machine assembly
    forecasting
    Make-to-Order
    artificial neural networks
    input signal
    output signals
    MatLab
    cykl montażu
    montaż maszyn
    prognozowanie
    produkcja na zamówienie
    sztuczne sieci neuronowe
    sygnały wejściowe
    sygnał wyjściowy
    Opis:
    This article presents the problem of forecasting the length of machine assembly cycles in make-to-order production (Make-to-Order). The model of Make-to-Order production and the technological process of manufacturing the finished product are presented. The possibility of developing a novel method, using artificial intelligence solutions, to estimate machine assembly times based on historical company data on manufacturing times for structurally similar components, is described. It is assumed that the result of the developed method will be an intelligent system supporting efficient and accurate estimation of machine assembly time, ready for implementation in production conditions. Such data as part availability, human resource availability and novelty factor will be used as input data for learning the neural network, while the output variable during learning the neural network will be the actual machine assembly time.
    W niniejszym artykule przedstawiono problem prognozowania długości cyklu montażu maszyn w produkcji na zamówienie (Make-to-Order). Przedstawiony został model produkcji na zamówienie oraz proces technologiczny wytwarzania wyrobu gotowego. Opisana została możliwość opracowania nowatorskiej metody, wykorzystującej rozwiązania z zakresu sztucznej inteligencji, umożliwiającej szacowanie czasu montażu maszyn w oparciu o dane historyczne przedsiębiorstw, dotyczące czasów wytwarzania podobnych konstrukcyjnie elementów. Zakłada się, iż rezultatem opracowanej metody będzie inteligentny system wspomagający skuteczne i dokładne szacowanie czasu montażu maszyn, gotowy do implementacji w warunkach produkcyjnych. Jako dane wejściowe do uczenia sieci neuronowej wykorzystane zostaną takie dane jak: dostępność części, dostępność zasobów ludzkich oraz czynnik nowości, zaś zmienną wyjściową podczas uczenia sieci neuronowej będzie rzeczywisty czas montażu maszyny.
    Źródło:
    Technologia i Automatyzacja Montażu; 2023, 3; 13-20
    2450-8217
    Pojawia się w:
    Technologia i Automatyzacja Montażu
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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