Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl
Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników

Znaleziono wyników: 6

Liczba wyników na stronie
first rewind previous Strona / 1 next fast forward last
Wyniki wyszukiwania
help Sortuj według:

help Ogranicz wyniki do:
first rewind previous Strona / 1 next fast forward last
EN
The purpose of article is to elaborate a consensus determination algorithm in supply chain management support systems, which may lead to achieving a greater flexibility and effectiveness of such systems. Using consensus methods in resolving the conflict of knowledge, in other words, determining a variant to be then presented to the user, based on the variants proposed by the system, may lead to shortening the variant determination time and to reducing the risk of selecting the worst variant. As a consequence, supply chain management might become more dynamic, which obviously influences the effectiveness of the operation of particular organizations and the entire supply chain. The originality is using consensus method to resolve knowledge conflicts in SCM systems to help decision-maker to take decision earning satisfy benefits.
EN
The paper presents a knowledge conflict resolving in supply chain management systems by using consensus methods. Most often user independently resolves this conflict by analyzing individual variants and taking a decision which of these variants choose. It is time-consumption and process, which is tied with risk of incorrect variant choice. To eliminate these inconveniences it can be use the consensus methods. These methods allow the automatic determine by system one variant, that is presented to the user. Therefore, the knowledge structure, which represents individual variants of solution, was defined in article. This definition is necessary to determine consensus algorithms, which allow to resolving knowledge conflicts supply chain management systems.
EN
Dynamic development of e-banking caused extremely difficult to make a choice, by individual user, which services to use. In cyberspace it is possible to find many opinions about these services, but their reading, objectively evaluating and comparing them with each other is very time consuming and subject to high possibility of error or not find major reviews in terms of decision making by user. It is therefore necessary to automated processing of unstructured knowledge (in particular customer opinions) associated with e-banking. The purpose of this paper is to analyze an unstructured knowledge processing capabilities in the area of e-banking using cognitive agents.
EN
In [1] some aspects of eGovernment: interoperability were discussed The aim of this paper is to summarize the national aspects and peculiarity in the field of interoperability in Poland (strategic frameworks, laws, regulations, implementation, specific requirements, organizational aspects, technical aspects, case studies, best practices, etc.). This information will be latter on used as a part of an e-course on eGgovernment interoperability course. The first part focuses on some of the organizational aspects and the effects they have on PA structures and on the performance of the services provided. In addition, the goal is also to analyze the changes that have produced some valuable innovations. The second section deals with the technological aspects, not only with the identification and exploitation of the best solutions in the field of innovation processes within the PA, but at the same time serves to detect unsuccessful attempts, analyzing the strengths and weaknesses of a given action taken in each case. The final section includes a detailed description of some success examples of a best practice and an in progress experiment of interoperability in Poland. The research was conducted within the LLP Leonardo da Vinci project „ELGI - eLearning for eGovernment” started in 2011. The project addresses its aims at the development of an innovative elearning course for acquiring knowledge concerning interoperability.
EN
The rapid global spread of COVID–19 has created numerous challenges for educational organizations of all levels around the world. Maritime Education and Training (MET) institutions are no exception and have faced major disruptions from the pandemic. Differing technological and organizational solutions have had to be quickly adapted in short timeframes in order to fill gaps and ensure continued teaching and learning. Although online education is nothing new, COVID-19 has accelerated the necessity for distributed learning, digital tools and infrastructure needed to not only cope, but excel in the restructuring of MET. In this article we present our experiences from the blended course offered to maritime bachelor students at our university in Norway through a case study. The findings from the study have revealed that although blended learning has helped continued education during the pandemic, it still has to overcome general as well as MET specific challenges to be successful in future. Considering the impact and challenges of the COVID-19 pandemic on MET, we further discuss the short-term responses and possible long-term solutions that can contribute to uninterrupted, high-quality learning for future MET. The use of emerging technologies for education, such as virtual reality (VR) and web-based training simulators, are likely to play an essential role in the future direction of MET.
first rewind previous Strona / 1 next fast forward last
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.