Influence of the implanted K-cluster size distribution on the shift of W work function

Girardeau-Montaut, J.P.; Girardeau-Montaut, Claire

doi:10.1063/1.367245

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The prototype was implemented in C++17. Cloud Compare [46] was used for rendering some figures and as an external tool for generating versions of the datasets for testing.…”

Section: Resultsmentioning

confidence: 99%

A Version Control System for Point Clouds

Ogayar-Anguita,

López-Ruiz,

Segura-Sánchez

et al. 2023

Remote Sensing

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This paper presents a novel version control system for point clouds, which allows the complete editing history of a dataset to be stored. For each intermediate version, this system stores only the information that changes with respect to the previous one, which is compressed using a new strategy based on several algorithms. It allows undo/redo functionality in memory, which serves to optimize the operation of the version control system. It can also manage changes produced from third-party applications, which makes it ideal to be integrated into typical Computer-Aided Design workflows. In addition to automated management of incremental versions of point cloud datasets, the proposed system has a much lower storage footprint than the manual backup approach for most common point cloud workflows, which is essential when working with LiDAR (Light Detection and Ranging) data in the context of spatial big data.

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“…The prototype was implemented in C++17. Cloud Compare [46] was used for rendering some figures and as an external tool for generating versions of the datasets for testing.…”

Section: Resultsmentioning

confidence: 99%

A Version Control System for Point Clouds

Ogayar-Anguita,

López-Ruiz,

Segura-Sánchez

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

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“…3. Registration: Registration of the collected point clouds in the opensource point cloud processing software, CloudCompare v.2.12.4 [51]. After the scaling of the SfM point cloud, both were taken to CloudCompare where floor detection using the method of [52] was used to orient both point clouds such that the z-axis was parallel to the plane normal.…”

Section: R Reviewmentioning

confidence: 99%

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

Wu¹,

Maalek²

2023

Preprint

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In Germany, as in many developed countries, over 60% of buildings were constructed before 1978, where most are in critical condition, requiring either demolition with plans for redevelopment or renovation and rehabilitation. Given the urgency of climate action and relevant sustainable development goals set by the United Nations, more attention must be shifted toward the various sustainability aspects when deciding on the strategy for renovation or redevelopment of existing buildings. To this end, this study focused on developing a smart decision support framework for aging buildings based on lifecycle sustainability considerations. The framework integrated digital technological advancements, such as building information modeling (BIM), point clouds processing with field information modeling (FIM)®, and structural optimization, together with life-cycle assessment to evaluate and rate the environmental impact of different solutions. Three sustainability aspects, namely, cost, energy consumption, and carbon emissions, were quantitatively evaluated and compared in two scenarios, namely, renovation, and demolition or deconstruction combined with redevelopment. A real building constructed in 1961 was the subject of the experiments to validate the framework. The result outlined the limitations and advantages of each method in terms of economics and environmental impact. It was further observed that optimizing the building design with the goal to reduce embodied energy and carbon in compliance with modern energy standards, was crucial to improve overall energy performance. This work demonstrated that the developed BIM-based framework to assess the environmental impact of rehabilitation work in aging buildings can provide effective ratings to guide decision-making in real-world projects.

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Influence of the implanted K-cluster size distribution on the shift of W work function

Cited by 2 publications

References 9 publications

A Version Control System for Point Clouds

A Version Control System for Point Clouds

Renovation or Redevelopment: The Case of Smart Decision-Support in Aging Buildings

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