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    Tytuł:
    Big data management algorithms in artificial Internet of Things-based fintech
    Autorzy:
    Andronie, Mihai
    Iatagan, Mariana
    Uță, Cristian
    Hurloiu, Iulian
    Dijmărescu, Adrian
    Dijmărescu, Irina
    Powiązania:
    https://bibliotekanauki.pl/articles/19902795.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Badań Gospodarczych
    Tematy:
    big data management algorithms
    artificial intelligence
    Internet of Things
    fintech
    banking
    capital markets
    Opis:
    Research background: Fintech companies should optimize banking sector performance in assisting enterprise financing as a result of firm digitalization. Artificial IoT-based fintech-based digital transformation can relevantly reverse credit resource misdistribution brought about by corrupt relationship chains. Purpose of the article: We aim to show that fintech can decrease transaction expenses and consolidates firm stock liquidity, enabling excess leverage decrease and cutting down information asymmetry and transaction expenses across capital markets. AI- and IoT-based fintechs enable immersive and collaborative financial transactions, purchases, and investments in relation to payment tokens and metaverse wallets, managing financial data, infrastructure, and value exchange across shared interactive virtual 3D and simulated digital environments. Methods: AMSTAR is a comprehensive critical measurement tool harnessed in systematic review methodological quality evaluation, DistillerSR is harnessed in producing accurate and transparent evidence-based research through literature review stage automation, MMAT appraises and describes study checklist across systematic mixed studies reviews in terms of content validity and methodological quality predictors, Rayyan is a responsive and intuitive knowledge synthesis tool and cloud-based architecture for article inclusion and exclusion suggestions, and ROBIS appraises systematic review bias risk in relation to relevance and concerns. As a reporting quality assessment tool, the PRISMA checklist and flow diagram, generated by a Shiny App, was used. As bibliometric visualization and construction tools for large datasets and networks, Dimensions and VOSviewer were leveraged. Search terms were “fintech” + “artificial intelligence”, “big data management algorithms”, and “Internet of Things”, search period was June 2023, published research inspected was 2023, and selected sources were 35 out of 188. Findings & value added: The growing volume of financial products and optimized operational performance of financial industries generated by fintech can provide firms with multifarious financing options quickly. Big data-driven fintech innovations are pivotal in banking and capital markets in relation to financial institution operational efficiency. Through data-driven technological and process innovation capabilities, AI system-based businesses can further automated services.
    Źródło:
    Oeconomia Copernicana; 2023, 14, 3; 769-793
    2083-1277
    Pojawia się w:
    Oeconomia Copernicana
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Software for Information and Technical System of Operational Monitoring of Agrobiological State of Agricultural Land of Oleksandr Brovarets Construction
    Autorzy:
    Brovarets, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/972983.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Oddział w Lublinie PAN
    Tematy:
    information and technical system
    local operational monitoring
    soil
    samples
    variability
    size
    research
    functional structure
    software
    program code
    management algorithms
    Opis:
    Modern agriculture involves the implementation of a particular technological operation, according to the appropriate map-task, which is developed pre-based on diverse information. Knowledge of a certain structure of soil cover variability, obtained using information and technical systems of local operational monitoring of the agrobiological state of agricultural lands, allows us to adopt effective operational decisions for efficient management of agrobiological potential of agricultural lands. Obviously, under such conditions, there is a need for fundamentally new approaches to agricultural production, which is to ensure the proper quality of technological operations. The quality of the implementation of technological operations is an integral indicator of the efficiency of production of agricultural products within the agrobiological field. The necessary quality of implementation of the basic technological processes in plant growing is provided by the integrated information and technical systems of operational monitoring of the agrobiological state of agricultural lands. In connection with this, the task is to use a fundamentally new class of information and technical systems of local operational monitoring of the agrobiological state of agricultural lands. The task is achieved by using the information and technical system of operational monitoring of the soil environment of the structure to determine the conductive characteristics of the soil environment. The purpose of this research is to develop and substantiate the functional structure, software, writing code and algorithms for managing the executive bodies of the information and technical system of operational monitoring of the agrobiological state of the soil environment of agricultural lands.
    Źródło:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2019, 8, 4; 28-41
    2084-5715
    Pojawia się w:
    ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stakeholder-accountability model for artificial intelligence projects
    Autorzy:
    Miller, Glorja J.
    Powiązania:
    https://bibliotekanauki.pl/articles/2163225.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    accountability
    artificial intelligence
    algorithms
    project management
    ethics
    Opis:
    Aim/purpose – This research presents a conceptual stakeholder accountability model for mapping the project actors to the conduct for which they should be held accountable in artificial intelligence (AI) projects. AI projects differ from other projects in important ways, including in their capacity to inflict harm and impact human and civil rights on a global scale. The in-project decisions are high stakes, and it is critical who decides the system’s features. Even well-designed AI systems can be deployed in ways that harm individuals, local communities, and society. Design/methodology/approach – The present study uses a systematic literature review, accountability theory, and AI success factors to elaborate on the relationships between AI project actors and stakeholders. The literature review follows the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement process. Bovens’ accountability model and AI success factors are employed as a basis for the coding framework in the thematic analysis. The study uses a web-based survey to collect data from respondents in the United States and Germany employing statistical analysis to assess public opinion on AI fairness, sustainability, and accountability. Findings – The AI stakeholder accountability model specifies the complex relationships between 16 actors and 22 stakeholder forums using 78 AI success factors to define the conduct and the obligations and consequences that characterize those relationships. The survey analysis suggests that more than 80% of the public thinks AI development should be fair and sustainable, and it sees the government and development organizations as most accountable in this regard. There are some differences between the United States and Germany regarding fairness, sustainability, and accountability. Research implications/limitations – The results should benefit project managers and project sponsors in stakeholder identification and resource assignment. The definitions offer policy advisors insights for updating AI governance practices. The model presented here is conceptual and has not been validated using real-world projects. Originality/value/contribution – The study adds context-specific information on AI to the project management literature. It defines project actors as moral agents and provides a model for mapping the accountability of project actors to stakeholder expectations and system impacts.
    Źródło:
    Journal of Economics and Management; 2022, 44; 446-494
    1732-1948
    Pojawia się w:
    Journal of Economics and Management
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Algorithmic Human Resources Management – Perspectives and Challenges
    Autorzy:
    Sienkiewicz, Łukasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2166151.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    human resources management
    HR analytics
    algorithms
    HRM ethics
    Opis:
    Theoretical background: Technology – most notably processes of digitalisation, the use of artificial in telligence, machine learning, big data and prevalence of remote work due to pandemic – changes the way organizations manage human resources. One of the increasing trends is the use of so-called “algorithmic management”. It is notably different than previous e-HRM or HRIS (human resources information systems) applications, as it automates HR-related duties. Algorithms, being autonomous computational formulae, are considered objective and mathematically correct decision-making mechanisms. Limiting human in volvement and oversight of the labour process might lead to serious ethical and managerial challenges. Many areas – previously being sole responsibility of managers (including HR managers), like employment relations, hiring, performance management, remuneration – are increasingly affected, or even taken over, by algorithmic management.Purpose of the article: The purpose of this article is to review the development, perspectives and challenges (including possible biases and ethical considerations) of algorithmic human resources management. This novel approach is fuelled by the speeding processes of digitalisation, the use of artificial intelligence, big data and increased analytical capabilities and applications used by contemporary companies. Algorithms are formulas that autonomously make decisions based on statistical models or decision rules without human intervention. Therefore, the use of algorithmic HRM automates decision-making processes and duties of human resources managers, thereby limiting human involvement and oversight, which can have negative consequences for the organization.Research methods: The article provides a critical literature review of theoretical sources and empirical evidence on the application of algorithmic human resources management practices. Scientific journals in the field of human resources management and technology applications have been reviewed, as well as research reports from academic institutions and renowned international organizations.Main findings: Applications of algorithmic human resources management are an emerging field of study that is currently not extensively researched. Little is known about the scale of use as well as consequences of this more automated approach to manage human work. Scarce evidence suggests possible negative con sequences, including ethical concerns, biases leading to discriminatory decisions and adverse employees’ reactions to decisions based on algorithms. After the review of possible future developments and challenges connected to algorithmic HRM, this article proposed actions aimed at re-humanisation of the approach to managerial decision-making with the support of algorithms, ensuring transparency of the algorithms construction and functionalities, and increasing reliability and reduction of possible biases.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia; 2021, 55, 2; 95-105
    0459-9586
    2449-8513
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Adaptive improvement of resource utilization in goal-oriented multi-user systems
    Adaptacyjne polepszanie wykorzystania zasobów informatycznych w wieloużytkownikowych systemach komputerowych
    Autorzy:
    Młyński, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/375638.pdf
    Data publikacji:
    2011
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    adaptive performance improvement
    heuristic algorithms
    goal-oriented workload management
    Opis:
    The material presents a real problem inherent in the management of computer systems, namely that of finding the appropriate system settings and thus being able to achieve the expected performance. The material also presents a prototype which aims to adapt the system in such a way as to achieve the objective, defined as the application efficiency. The prototype uses a resource-oriented mechanism that is built into the OS Workload Manager and is focused on a proposed goal-oriented subsystem based on fuzzy logic, managing resources to make the best use of them, and pursuing translation to the use of system resources, including nondeterministic technology-related factors such as duration of allocation and release of the resources, sharing the resources with the uncapped mode, and the errors of performance measurement.
    Artykuł przedstawia realny problem występującego w zarządzaniu systemami informatycznymi polegający na dynamicznym znajdowaniu odpowiednich ustawień systemu, dzięki którym można osiągnąć oczekiwaną wydajność aplikacji. Utrudnieniem jest kryterium, gdzie rozpatrywana, oczekiwana wydajność aplikacji również zmienia się dynamicznie. Artykuł przedstawia także prototyp, którego celem jest adaptacja systemu w taki sposób, aby osiągnąć cel, zdefiniowany jako wydajność aplikacji. Prototyp wykorzystuje zorientowanego na zasoby (ang. resource-oriented) wbudowanego w system operacyjny zarządcę obciążeniem (ang. Workload Manager), oraz zorientowany na cel (ang. Goal-oriented) autorski podsystem bazujący na logice rozmytej. Opisany autorski program gospodaruje zasobami informatycznymi tak, aby jak najlepiej je wykorzystać oraz realizuje translacje zdefiniowanego celu na zajętość wykorzystywanych zasobów systemowych z uwzględnieniem niedeterministycznych współczynników związanych z technologi˛ takich jak czas na alokację i zwalnianie tych zasobów, ich współdzielenie, oraz błędy pomiarów wydajności. Wyniki badań pokazują, że dzięki zastosowaniu prototypu możliwa jest dynamiczna zmiana celu określonego jako czas odpowiedzi aplikacji a czas znalezienia odpowiednich parametrów mieści się w akceptowalnych granicach mierzonych w sekundach. W artykule przedstawione jest także porównanie przedstawionego prototypu z podobnym, bazującym na koncepcji bazy wiedzy.
    Źródło:
    Theoretical and Applied Informatics; 2011, 23, 1; 37-53
    1896-5334
    Pojawia się w:
    Theoretical and Applied Informatics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Cost-efficient project management based on critical chain method with partial availability of resources
    Autorzy:
    Pawiński, G.
    Sapiecha, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/205579.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    project management and scheduling
    resource allocation
    resource constraints
    metaheuristic algorithms
    parallel processing
    Opis:
    Cost-efficient project management based on Critical Chain Method (CCPM) is investigated in this paper. This is a variant of the resource-constrained project scheduling problem (RCPSP) when resources are only partially available and a deadline is given, but the cost of the project should be minimized. RCPSP is a well- known NP hard problem but originally it does not take into consideration the initial resource workload. A metaheuristic algorithm driven by a metric of a gain was adapted to solve the problem when applied to CCPM. Refinement methods enhancing the quality of the results are developed. The improvement expands the search space by inserting the task in place of an already allocated task, if a better allocation can be found for it. The increase of computation time is reduced by distributed calculations. The computational experiments showed significant efficiency of the approach, in comparison with the greedy methods and with genetic algorithm, as well as high reduction of time needed to obtain the results.
    Źródło:
    Control and Cybernetics; 2014, 43, 1; 95-109
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An efficient approach for view selection for data warehouse using tree mining and evolutionary computation
    Autorzy:
    Thakare, A.
    Deshpande, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/305413.pdf
    Data publikacji:
    2018
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    database management systems
    data warehousing and data mining
    query optimization
    graph mining
    algorithms for parallel computing
    evolutionary computations
    genetic algorithms
    Opis:
    The selection of a proper set of views to materialize plays an important role in database performance. There are many methods of view selection that use different techniques and frameworks to select an efficient set of views for materialization. In this paper, we present a new efficient scalable method for view selection under the given storage constraints using a tree mining approach and evolutionary optimization. The tree mining algorithm is designed to determine the exact frequency of (sub)queries in the historical SQL dataset. The Query Cost model achieves the objective of maximizing the performance benefits from the final view set that is derived from the frequent view set given by the tree mining algorithm. The performance benefit of a query is defined as a function of query frequency, query creation cost, and query maintenance cost. The experimental results show that the proposed method is successful in recommending a solution that is fairly close to an optimal solution.
    Źródło:
    Computer Science; 2018, 19 (4); 431-455
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimization of daily operations in the marine industry using ant colony optimization (ACO)-An artificial intelligence (AI) approach
    Autorzy:
    Sardar, A.
    Anantharaman, M.
    Garaniya, V.
    Khan, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/24201433.pdf
    Data publikacji:
    2023
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    ant colony optimization
    artificial intelligence
    maritime transport
    International Maritime Organization
    international safety management
    formal safety assessment
    algorithms
    Opis:
    The maritime industry plays a crucial role in the global economy, with roughly 90% of world trade being conducted through the use of merchant ships and more than a million seafarers. Despite recent efforts to improve reliability and ship structure, the heavy dependence on human performance has led to a high number of casualties in the industry. Decision errors are the primary cause of maritime accidents, with factors such as lack of situational awareness and attention deficit contributing to these errors. To address this issue, the study proposes an Ant Colony Optimization (ACO) based algorithm to design and validate a verified set of instructions for performing each daily operational task in a standardised manner. This AI-based approach can optimise the path for complex tasks, provide clear and sequential instructions, improve efficiency, and reduce the likelihood of human error by minimising personal preference and false assumptions. The proposed solution can be transformed into a globally accessible, standardised instructions manual, which can significantly contribute to minimising human error during daily operational tasks on ships.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 2; 290--295
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fuzzy Pareto Dominance in Multiple Criteria Project Scheduling Problem
    Autorzy:
    Krzeszowska-Zakrzewska, Bogumiła
    Powiązania:
    https://bibliotekanauki.pl/articles/578536.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Algorytmy
    Harmonogram
    Optimum Pareto
    Optymalizacja wielokryterialna
    Planowanie projektu
    Zarządzanie projektem
    Algorithms
    Multiple criteria optimization
    Pareto optimality
    Project management
    Project planning
    Schedule
    Opis:
    Planning is one of the most important aspects of project management. A project plan defines objectives, activities and timeframe for project realization. To be able to define the required timeframe for project realization it is important to prepare its schedule. The purpose of this paper is to present the project scheduling problem as a multiple criteria decision making problem and to solve it using two evolutionary algorithms: SPEA2 and an evolutionary algorithm driven by the fuzzification of Pareto dominance. A comparison of these two approaches is conducted to investigate if it is reasonable to use the fuzzification of the Pareto dominance relation in evolutionary algorithms for the multiple criteria project scheduling problem
    Źródło:
    Multiple Criteria Decision Making; 2015, 10; 93-104
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Integrated system of health management-oriented reliability prediction for a spacecraft software system with an adaptive genetic algorithm support vector machine
    Zorientowane na zintegrowane zarządzanie kondycją systemu prognozowanie niezawodności systemów oprogramowania statków kosmicznych z wykorzystaniem opartej na adaptacyjnym algorytmie genetycznym maszyny wektorów nośnych
    Autorzy:
    Xu, J.
    Meng, Z
    Xu, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/300804.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    spacecraft software system
    reliability
    integrated system health management
    adaptive genetic algorithms support vector machine
    system oprogramowania statku kosmicznego
    niezawodność
    zintegrowane zarządzanie kondycją systemu
    adaptacyjne algorytmy genetyczne
    maszyna wektorów nośnych
    Opis:
    Software reliability prediction is very important to minimize cost and improve software development effectiveness, especially in a spacecraft’s software system. In this paper, a new spacecraft software system reliability definition is given and a new reliability prognostics-oriented life cycle integrated system health management for a spacecraft software system is focused on. Adaptive genetic algorithms are then combined with a support vector machine to build an adaptive genetic algorithm support vector machine reliability prediction model. This model attempts to overcome the genetic algorithm weaknesses, such as the local minima and premature convergence problems, and solves the parameter selection difficulties often encountered in a support vector machine. After construction, the proposed adaptive genetic algorithm support vector machine model is employed to predict the reliability of a spacecraft software system. Finally, a numerical example is given to show how the proposed approach has a superior prediction performance compared to a standard support vector machine and artificial neural network.
    Przewidywanie niezawodności oprogramowania odgrywa ważną rolę w minimalizowaniu kosztów i poprawie efektywności tworzenia oprogramowania, zwłaszcza w odniesieniu do systemów oprogramowania statków kosmicznych. W niniejszej pracy, podano nową definicję niezawodności systemu oprogramowania statku kosmicznego koncentrując uwagę na opartym na prognozowaniu niezawodności oraz cyklu życia modelu zintegrowanego zarządzania kondycją systemu opracowanego dla systemu oprogramowania statku kosmicznego. Skonstruowano następnie model przewidywania niezawodności oparty na połączeniu adaptacyjnych algorytmów genetycznych oraz maszyny wektorów nośnych. Model ten stanowi próbę przezwyciężenia słabości algorytmów genetycznych, takich jak problem minimów lokalnych czy problem przedwczesnej zbieżności, a także rozwiązania trudności związanych z doborem parametrów, jakie często występują przy zastosowaniu maszyny wektorów nośnych. Skonstruowany model opartej na adaptacyjnym algorytmie genetycznym maszyny wektorów nośnych zastosowano do przewidywania niezawodności systemu oprogramowania statku kosmicznego. Wreszcie, przedstawiono przykład liczbowy, który pokazuje że opracowany model charakteryzuje się wyższą dokładnością prognozowania w porównaniu do standardowej maszyny wektorów nośnych oraz sztucznej sieci neuronowej.
    Źródło:
    Eksploatacja i Niezawodność; 2014, 16, 4; 571-578
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-10 z 10

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