Project management within the automotive production in specific departments is still done separately and does not interact with engineering process. Our work aims on providing flexible data insights on collaboration tasks within such environments. We apply semantic technologies RDF, OWL and SPARQL with a specific domain related ontology PROTARES (PROject TAsks RESources) to interlink, describe and query domain knowledge. As proof of concept we are introducing an experimental visualisation interface called TaskRadar. Our application resides on domain ontology and allows knowledge based browsing and visualisation of tasks in development process. With this example we want to show, how semantically driven customized views can support monitoring and reflection as well as decision-making within the early phases of the automotive product lifecycle.
Artykuł przedstawia autorską koncepcję systemu automatycznej identyfikacji niebezpieczeństw (SAIN) w żegludze śródlądowej. System opiera się na dwóch równolegle działających metodach, a mianowicie na deterministycznym modelu matematycznym i systemie ekspertowym z logiką rozmytą. Tak zbudowany system wspomagania decyzji poza matematycznymi miarami uwzględnia również decyzje (zachowania) ekspertów, czyli nawigatorów żeglugi śródlądowej. Pozwala to na zwiększenie bezpieczeństwa pracy oraz wzrost efektywności i wydajności wykorzystania torów wodnych. W artykule przedstawiono problematykę integracji informacji pobranych ze specjalistycznych urządzeń tworzących system oraz metodykę działania samego systemu. Koncepcję autorskiego hybrydowego systemu wspomagania decyzji umieszczono w kontekście aktualnie rozwijanych systemów informacji rzecznej (RIS), co dodatkowo wskazuje na miejsce działania opracowanego systemu oraz jego praktyczne zastosowanie. W artykule omówiono podstawowe mechanizmy inteligentnych systemów transportowych, które przyczyniają się do wymiernych korzyści w zakresie ekonomiki transportu i bezpieczeństwa.
EN
The paper presents a concept of the navigation system, automatic identification of hazards (SAIN) for inland waterways. The system is based on two parallel operating methods, namely the deterministic mathematical model and expert system with fuzzy logic. So the decision support system built outside the mathematical measures also take into account the decisions (behavior) expert (navigators inland waterway). This increases safety and increase the effectiveness and efficiency of use of the fairway. The article presents the integration of information taken from the specialized equipment to operate the system and methodology of operation of the system itself. The concept of hybrid decision support system placed in the currently developed river information services (RIS), which indicates the site of action drawn up the system and its practical application. The article discusses the key mechanisms of intelligent transportation systems that contribute to measurable benefits in the area of transport economics and security.
The demand for ubiquitous and efficient information delivery is increasing rapidly, as the majority of access to professional data, information and knowledge is increasingly relying on the use of technology. Mobile workers become more efficient, if equipped with access means similarly powerful to stationary workplaces. All types of work exhibiting inherently nomadic characteristics are even more affected by these developments. Healthcare personnel in a clinical environment are definitely one of the typical examples, where the access of information is vital and bound to location. Additionally the information needs to be processed in very short periods of time. For this purpose it is of great advantage to deploy advanced information visualization technologies in order to communicate larger amounts of data in a shorter period of time. In this work, we present an IT platform, which emerged from applications in the cultural heritage domain, that can be used to deliver context-aware services and advanced visualization of information to medical personnel in a clinical environment. The location combined with usage profiles for each member of the stuff are used to make the decision about the type and amount of information as well as the visualization type delivered to the handheld devices. Along with the description of the platform and its components, two application examples/medical use cases are presented.
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