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2 TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
1 Zeszyty Naukowe Politechniki Poznańskiej. Architektura, Urbanistyka, Architektura Wnętrz

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Kryteria kontekstu i tradycji miejsca w ocenie obiektów architektonicznych - analiza i formalizacja aspektów oceny dla celów inteligentnych systemów wspomagania decyzji

Rumież Agnieszka, Świt-Jankowska Barbara

Zeszyty Naukowe Politechniki Poznańskiej. Architektura, Urbanistyka, Architektura Wnętrz

2022

Z. 10

149--161

Ochrona dziedzictwa kulturowego wymaga negocjacji na wielu szczeblach społecznej organizacji i angażuje osoby reprezentujące bardzo różne środowiska i tym samym - posiadające niejednokrotnie odmienne stanowiska i ideały. Znalezienie mechanizmów wspomagających procesy decyzyjne w obszarze dziedzictwa - w szczególności tego najnowszego - jest jednym z najpilniejszych zadań badawczych w dziedzinie. W artykule zaproponowano strategię i opisano I część badań, które mają prowadzić do stworzenia narzędzia opartego o adekwatny model inteligentnego systemu wspomagania decyzji. Przedstawione zostało uzasadnienie wyboru modelu decyzyjnego (DRSA). Zaproponowano takie przedefiniowanie 2 spośród 10 kryteriów oceny obiektów architektonicznych: kontekstu i tradycji miejsca, aby możliwe było rozdzielenie ich zakresów znaczeniowych i tym samym uniknięcie sytuacji redundancji.

The protection of cultural heritage requires negotiations on many levels of social organization and involves representatives from very different environments and thus - often having different positions and ideals. Finding mechanisms to support decision-making in the area of heritage protection - especially contemporary objects - is one of the most urgent inquiry in the field. The article proposes a strategy and describes the first part of the research: creation of a tool based on an adequate model of an intelligent decision support system. The justification for the choice of the decision model (DRSA) was presented. It has been proposed to redefine 2 out of 10 criteria for assessing architectural objects: the context and place tradition (genis loci), so that it is possible to separate their semantic fields and thus avoid redundancy.

The main challenges and barriers to the successful “smart shipping”

Alop A.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2019

Vol. 13, no. 3

521--528

As with the powerful digitalization of the world in the 21st century, maritime affairs, like all other areas, are facing not only new opportunities, but also new big challenges and problems. From the point of view of the development of new technologies, it seems that everything is possible, for example the bringing of so-called "intelligent ships" and “smart ports” into one global system on base of internet of things and big data applications. However, if to look at the matter further, a number of factors and obstacles may appear which could be major threats to the normal functioning of such a system. While it is clear that systems with such high degree of complexity are even technically vulnerable, it seems to the author of this paper that questions that are no less difficult are in the field of human relations. For example, when ships and ports are becoming more and more "smarter" and need less and less people to intervene in their interactions, who at the end will be responsible for everything that can and definitely will happened at sea or in the port? What about liability of cargo carrier if “carrier” is an autonomous ship without any person on-board during the entire journey? How to ensure cyber security? How to be secured against the risks of so-called artificial intelligence systemic errors? It is possible that only new non-trivial approaches can lead to acceptable results in this area, but what they may be and whether these approaches are possible at all - these questions are still waiting for answers.

Intelligent autonomous ship navigation using multi-sensor modalities

Wright R.G.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

2019

Vol. 13, no. 3

503--510

This paper explores the use of machine learning and deep learning artificial intelligence (AI) techniques as a means to integrate multiple sensor modalities into a cohesive approach to navigation for autonomous ships. Considered is the case of a fully autonomous ship capable of making decisions and determining actions by itself without active supervision on the part of onboard crew or remote human operators. These techniques, when combined with advanced sensor capabilities, have been touted as a means to overcome existing technical and human limitations as unmanned and autonomous ships become operational presently and in upcoming years. Promises of the extraordinary capabilities of these technologies that may even exceed those of crewmembers for decision making under comparable conditions must be tempered with realistic expectations as to their ultimate technical potential, their use in the maritime domain, vulnerabilities that may preclude their safe operation; and methods for development, integration and test. The results of research performed by the author in specific applications of machine learning and AI to shipping are presented citing key factors that must be achieved for certification of these technologies as being suitable for their intended purpose. Recommendations are made for strategies to surmount present limitations in the development, evaluation and deployment of intelligent maritime systems that may accommodate future technological advances. Lessons learned that may be applied to improve safety of navigation for conventional shipping are also provided.