8 research outputs found
Answer Set Programming Modulo `Space-Time'
We present ASP Modulo `Space-Time', a declarative representational and
computational framework to perform commonsense reasoning about regions with
both spatial and temporal components. Supported are capabilities for mixed
qualitative-quantitative reasoning, consistency checking, and inferring
compositions of space-time relations; these capabilities combine and synergise
for applications in a range of AI application areas where the processing and
interpretation of spatio-temporal data is crucial. The framework and resulting
system is the only general KR-based method for declaratively reasoning about
the dynamics of `space-time' regions as first-class objects. We present an
empirical evaluation (with scalability and robustness results), and include
diverse application examples involving interpretation and control tasks
GreenPilot, lotsbÄt med minimal miljöpÄverkan
The GreenPilot project was carried out to demonstrate the emissions reductions and environmental performance improvements that could be achieved by converting a small vessel to run on methanol fuel. Reducing emissions is a priority for all vessel sizes, as emissions regulations are becoming stricter and concern about greenhouse gases and global warming continues to grow. Within Sweden, the government has announced its ambition to convert all state-owned vessels to fossil-free operation and is investigating 2030 and 2045 as possible deadlines. Methanol produced from renewable feedstock is a possible solution for some of the vessels. By physically converting a Swedish pilot boat to run on methanol, the project demonstrated he feasibility of methanol as a fuel solution for small vessels. Work included converting and testing three different engines to run on methanol, two of which were installed and operated on the converted pilot boat. Emissions measurements showed good reductions as compared to conventional fuel oil. Fossil-free methanol produced from pulp mill black liquor in a Swedish pilot plant was used in some of the laboratory and on board tests. The project also investigated other solutions for reducing environmental impacts of the pilot boats, including the use of solar cells, batteries, and fuel cells.GreenPilot-projektet genomfördes för att demonstrera utslÀppsminskningar ochmiljöprestanda förbÀttringar som kan uppnÄs genom att konvertera en litenkÀrl att köra pÄ metanolbrÀnsle. Att minska utslÀppen Àr en prioritet för alla fartygsstorlekar, somUtslÀppsreglerna blir hÄrdare och oroa sig för vÀxthusgaser och globalauppvÀrmning fortsÀtter att vÀxa. Inom Sverige har regeringen meddelat sin ambition attkonvertera alla statligt Àgda fartyg till fossilfri drift och undersöker 2030 och 2045 sommöjliga tidsfrister. Metanol framstÀlld av förnybart rÄmaterial Àr en möjlig lösning förnÄgra av fartygen.Genom att fysiskt konvertera en svensk pilotbÄt för att köra pÄ metanol visade projektethan genomförbarhet av metanol som en brÀnsle lösning för smÄ fartyg. Arbetet inkluderade konvertering ochtesta tre olika motorer för att köra pÄ metanol, varav tvÄ installerades och drivsGreenPilot, lotsbÄt med minimal miljöpÄverka
Answer Set Programming Modulo âSpace-Timeâ
We present ASP Modulo âSpace-Timeâ, a declarative representational and computational framework to perform commonsense reasoning about regions with both spatial and temporal components. Supported are capabilities for mixed qualitative-quantitative reasoning, consistency checking, and inferring compositions of space-time relations; these capabilities combine and synergise for applications in a range of AI application areas where the processing and interpretation of spatio-temporal data is crucial. The framework and resulting system is the only general KR-based method for declaratively reasoning about the dynamics of âspace-timeâ regions as first-class objects