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Wyszukujesz frazę "decision-making algorithm" wg kryterium: Temat


Wyświetlanie 1-7 z 7
Tytuł:
Conversion timing of seafarer’s decision-making for unmanned ship navigation
Autorzy:
Zhang, R. L.
Furusho, M.
Powiązania:
https://bibliotekanauki.pl/articles/116734.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
maritime safety
unmanned ship
unmanned ship navigation
on-board decision-making
decision-making algorithm
conversion timing
bayesian risk prediction
seafarers
Opis:
The aim of this study is to construct an unmanned ship swarms monitoring model to improve autonomous decision-making efficiency and safety performance of unmanned ship navigation. A framework is proposed to determine the relationship between on-board decision-making and shore side monitoring, the process of ship data detection, tracking, analysis and loss, and the application of decision-making algorithm, to discuss the different risk responses of specific unmanned ship types under various latent hazard environments, particularly in terms of precise conversion timing in switching over to remote control and full manual monitoring, to ensure safe navigation when the capability of automatic risk response inadequate. This frame-work makes it easier to train data and the adjustment for machine learning based on Bayesian risk prediction. It can be concluded that the automation level can be increased and the workload of shore-based seafarers can be reduced easily.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 3; 463-468
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control of the workplace environment by physical factors and SMART monitoring
Autorzy:
Kruzhilko, O.
Polukarov, O.
Vambol, S.
Vambol, V.
Khan, N. A.
Maystrenko, V.
Kalinchyk, V. P.
Khan, A. H.
Powiązania:
https://bibliotekanauki.pl/articles/1818508.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
environmental physical factors
occupational health
monitoring
occupational health and safety management system
decision-making algorithm
środowiskowe czynniki fizyczne
zdrowie zawodowe
monitorowanie
system zarządzania bezpieczeństwem i higieną pracy
algorytm decyzyjny
Opis:
Purpose: To develop and implementation in practice an algorithm for smart monitoring of workplace environmental physical factors for occupational health and safety (OSH) management. Design/methodology/approach: A brief conceptual analysis of existing approaches to workplace environmental physical factors monitoring was conducted and reasonably suggest a decision-making algorithm to reduce the negative impact of this factors as an element of the OSH management system. Findings: An algorithm has been developed that provides continual improvement of the OSH management system to improve overall labour productivity and which has 3 key positive features: (1) improved data collection, (2) improved data transfer and (3) operational determination of the working conditions class. Research limitations/implications: The implementation of the proposed algorithm for substantiating managerial decisions to reduce the negative impact of workplace physical factors is shown by the example of four workplace environmental physical factors in the products manufacture from glass. Practical implications: If management decisions on the implementation of protective measures are taken in accordance with the proposed monitoring algorithm, these decisions will be timely and justified. This makes it possible to reduce the time of the dangerous effects of physical factors on the health of workers and reduce the level of these factors to improve working conditions. That is, an algorithm is proposed that provides continuous improvement of the OSH management system to increase overall labour productivity. Originality/value: Current monitoring of workplace environmental physical factors values are carried out in accordance with the justified monitoring intervals for each factor that provides the necessary and sufficient amount of data and eliminates the transfer of useless data.
Źródło:
Archives of Materials Science and Engineering; 2020, 103, 1; 18--29
1897-2764
Pojawia się w:
Archives of Materials Science and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Management and decisions in the structures of human activities
Autorzy:
Galanc, T.
Kołwzan, W.
Pieronek, J.
Skowronek-Grądziel, A.
Powiązania:
https://bibliotekanauki.pl/articles/406575.pdf
Data publikacji:
2017
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
management
decision-making
structure
algorithm
scientific language
Opis:
This article has been devoted to the key dimensions of decision-making. The main goal of the authors was to point out the role and effect of invariants of nature, logic and conceptual systems of science and management, which are extremely important in decision-making processes. The research hypothesis has been tested that the complexity of decision-making and management are determined by the state of reality (Nature). This hypothesis is related to the fact that in science there is currently no uniform methodology associated with decision-making, just as science is not methodologically uniform. One can even doubt whether it is possible to describe the essential dimensions of decisions undertaken by Man, as discussed in this article. These problems are not a novelty to science, since they have been analysed by many scientists in the past. The authors of the article present the complexity and diversity of concepts defining systems of decision-making and management, based on selected fields of knowledge which are generally relevant to this issue, in particular fields associated with ontology and epistemology. Therefore, the text refers broadly to investigating the reality of basic areas of human knowledge and the overlapping relationships between them. This applies to the so-called circle of the sciences proposed and examined by the psychologist J. Piaget. An additional aim of the authors was to create a text presenting contemporary human knowledge about the reality which surrounds us. To understand reality means to be in relative equilibrium with it.
Źródło:
Operations Research and Decisions; 2017, 27, 4; 45-69
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decyzje w sytuacjach konfliktów moralnych
Decisions in Moral Conflict Situations
Autorzy:
Banajski, Ryszard
Powiązania:
https://bibliotekanauki.pl/articles/469142.pdf
Data publikacji:
2006
Wydawca:
Polska Akademia Nauk. Instytut Filozofii i Socjologii PAN
Tematy:
moral conflict
hypothesis on conflict background of morality
technology of ethics
algorithm of decision making in conflict situations
Opis:
Analyzing the character of moral conflict and a hypothesis on the conflict background of morality, the author refers to J. Pawlica’s ideas on the technology of ethics as a new branch of ethics, dealing with ethical decisions (apart from descriptive and normative ethics) as well as K. Szaniawski’s proposal to solve moral conflicts by means of appropriate tools of the decision theory. The article results in an attempt to formulate the algorithm of decision making in moral conflict situations.
Źródło:
Prakseologia; 2006, 146; 113-122
0079-4872
Pojawia się w:
Prakseologia
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stochastic programming model for production planning with stochastic aggregate demand and spreadsheet-based solution heuristics
Autorzy:
Saadouli, Nasreddine
Powiązania:
https://bibliotekanauki.pl/articles/2100358.pdf
Data publikacji:
2021
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
production planning
stochastic programming
efficient algorithm
decision-making
Opis:
By discretising the stochastic demand, a deterministic nonlinear programming formulation is developed. Then, a hybrid simulation-optimisation heuristic that capitalises on the nature of the problem is designed. The outcome is an evaluation problem that is efficiently solved using a spreadsheet model. The main contribution of the paper is providing production managers with a tractable formulation of the production planning problem in a stochastic environment and an efficient solution scheme. A key benefit of this approach is that it provides quick near-optimal solutions without requiring in-depth knowledge or significant investments in optimisation techniques and software.
Źródło:
Operations Research and Decisions; 2021, 31, 4; 117--127
2081-8858
2391-6060
Pojawia się w:
Operations Research and Decisions
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A machine learning method for soil conditioning automated decision-making of EPBM : hybrid GBDT and Random Forest Algorithm
Autorzy:
Lin, Lin
Guo, Hao
Lv, Yancheng
Liu, Jie
Tong, Changsheng
Yang, Shuqin
Powiązania:
https://bibliotekanauki.pl/articles/2087007.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
soil conditioning
automated decision-making
hybrid algorithm
geological parameters
drive parameters
feature selection
Opis:
There lacks an automated decision-making method for soil conditioning of EPBM with high accuracy and efficiency that is applicable to changeable geological conditions and takes drive parameters into consideration. A hybrid method of Gradient Boosting Decision Tree (GBDT) and random forest algorithm to make decisions on soil conditioning using foam is proposed in this paper to realize automated decision-making. Relevant parameters include decision parameters (geological parameters and drive parameters) and target parameters (dosage of foam). GBDT, an efficient algorithm based on decision tree, is used to determine the weights of geological parameters, forming 3 parameters sets. Then 3 decision-making models are established using random forest, an algorithm with high accuracy based on decision tree. The optimal model is obtained by Bayesian optimization. It proves that the model has obvious advantages in accuracy compared with other methods. The model can realize real-time decision-making with high accuracy under changeable geological conditions and reduce the experiment cost.
Źródło:
Eksploatacja i Niezawodność; 2022, 24, 2; 237--247
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Travel management optimization based on air pollution condition using Markov decision process and genetic algorithm (case study: Shiraz city)
Autorzy:
Bagheri, Mohammad
Ghafourian, Hossein
Kashefiolasl, Morteza
Pour, Mohammad Taghi Sadati
Rabbani, Mohammad
Powiązania:
https://bibliotekanauki.pl/articles/223520.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
air pollution
dynamic optimization
genetic algorithm
Markov decision-making process
zarządzanie transportem
optymalizacja
zanieczyszczenie powietrza
algorytm genetyczny
proces decyzyjny Markowa
Opis:
Currently, air pollution and energy consumption are the main issues in the transportation area in large urban cities. In these cities, most people choose their transportation mode according to corresponding utility including traveller's and trip’s characteristics. Also, there is no effective solution in terms of population growth, urban space, and transportation demands, so it is essential to optimize systematically travel demands in the real network of roads in urban areas, especially in congested areas. Travel Demand Management (TDM) is one of the well-known ways to solve these problems. TDM defined as a strategy that aims to maximize the efficiency of the urban transport system by granting certain privileges for public transportation modes, Enforcement on the private car traffic prohibition in specific places or times, increase in the cost of using certain facilities like parking in congested areas. Network pricing is one of the most effective methods of managing transportation demands for reducing traffic and controlling air pollution especially in the crowded parts of downtown. A little paper may exist that optimize urban transportations in busy parts of cities with combined Markov decision making processes with reward and evolutionary-based algorithms and simultaneously considering customers’ and trip’s characteristics. Therefore, we present a new network traffic management for urban cities that optimizes a multi-objective function that related to the expected value of the Markov decision system’s reward using the Genetic Algorithm. The planned Shiraz city is taken as a benchmark for evaluating the performance of the proposed approach. At first, an analysis is also performed on the impact of the toll levels on the variation of the user and operator cost components, respectively. After choosing suitable values for the network parameters, simulation of the Markov decision process and GA is dynamically performed, then the optimal decision for the Markov decision process in terms of total reward is obtained. The results illustrate that the proposed cordon pricing has significant improvement in performance for all seasons including spring, autumn, and winter.
Źródło:
Archives of Transport; 2020, 53, 1; 89-102
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-7 z 7

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