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Hrvatski arhiv weba

Hrvatski arhiv weba (HAW) zbirka je odabranih sadržaja preuzetih s interneta i pohranjenih na računalnom poslužitelju Nacionalne i sveučilišne knjižnice u Zagrebu. Njegova je svrha preuzimanje i trajno čuvanje publikacija s interneta kao dijela hrvatske kulturne baštine. Dane su osnovne informacije o tom arhivu

Hrvatski arhiv weba

Hrvatski arhiv weba (HAW) zbirka je odabranih sadržaja preuzetih s interneta i pohranjenih na računalnom poslužitelju Nacionalne i sveučilišne knjižnice u Zagrebu. Njegova je svrha preuzimanje i trajno čuvanje publikacija s interneta kao dijela hrvatske kulturne baštine. Dane su osnovne informacije o tom arhivu

The Power of Location: Predictive Modeling and GIS

In the past two decades, nautical archaeology has turned its attention to identifying and locating the ships used during the Atlantic Slave Trade. While the archival evidence exists, only a small number of these ships has been found, and even less have been excavated. Spatial analysis tools like GIS can be a powerful tool to help further this research. This thesis is an exploration of how predictive modeling and GIS could make the identification of slave wrecks plausible, and an overview of the ethical issues that surround the use of GIS within the context of the African Diaspora. With more representative sampling of ships, archaeologists can continue analyzing the slave trade not only from the archival documents of the owners, but also from the artifacts of those on board. Locating and identifying wrecks that are suitable for excavation will add invaluable data to the understanding of this journey; yet, numerous ethical issues must be taken into consideration. As this data deals with a crucial element of the African Diaspora, the larger anthropological community must involve the present descendants of these captives. If GIS is used in a larger theoretical context, it should also actively engage with present-day community stakeholders

Voir ou être vu : analyses de visibilité depuis le site de Chèvremont (commune de Chaudfontaine, Belgique)

peer reviewedLe site de Chèvremont est connu dans l’histoire liégeoise depuis le Haut Moyen-Âge. L’archéologie a montré que la colline a été fréquentée depuis au moins la période néolithique. Intuitivement, tous les auteurs qui se sont rendus sur le site décrivent un endroit d’où le panorama est impressionnant. Nous tentons ici d’utiliser les analyses de visibilité pour mesurer et comparer l’ampleur de la visibilité atteinte depuis plusieurs points du plateau sommital

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways

Development of a decision support system for sustainable and resilience evaluation of urban underground space physical infrastructure

The research described in this thesis proposes a new,novel evaluation ‘framework’ and accompanying operational ‘model’, the ‘SUURE’ (Sustainable Underground Use Resilience Evaluation) ‘framework’, which adopts a socio-ecological systems (SES) approach to evaluation, combining sustainability science and resilience theory, at the same time incorporating a range of interdisciplinary tools and methods to achieve this. It purposes at its core to aid in sustainability evaluation of urban underground space, by evaluating the process to the outcome of sustainable solutions i.e. the capacity to adapt to change in different steady states. In consequence, a fundamentally different approach to planning that utilises future socio-ecological scenarios (NSP, PR, MF and FW) is incorporated in the ‘framework’ as a means of evaluating through its operational ‘model’, the sensitivity of investment decisions made today in the name of sustainability i.e. will the proposed engineering sustainability solution continue to deliver its intended function into the future, whatever that may be. The SUURE operational ‘model’ was employed as a proof of concept to the case study area of Birmingham Eastside, evaluating the potential use of multi-utility tunnels (MUT) in Eastside as a means of engendering sustainable and resilient use of urban underground space, through sustainable utility placement, both now and into the future. The flush-fitting MUT was found to be having the highest overall baseline (present-day) performance resilience index ratio at mean of 0.739, the shallow MUT second at 0.656, and the deep MUT last at 0.212. With regard to the evaluation of continued MUT functional performance into the future (whatever that may be), all three MUT options, if implemented today in the name of sustainability, would continue to deliver and retain their core functional performance, the deep MUT showing the most significant increase across all evaluation clusters (social, economic, physical, bio-physical and location aspects)