The 2021 Shape Modeling International Young Researcher Award is presented to Dr. Melina Skouras for her significant contributions to shape modeling. For this award, the candidates must have received ...the their Ph.D. degrees within seven years of the award being presented.
This year, 2021 is the year, which marks the passing of our founder, Professor Kunii, and the introduction of the new SMI awards. The SMI steering committee decided that the awardee’s publication should take an interview format. This permits a casual discussion of the research areas, insights, and contributions of the award winner. What follows is an edited transcript of a conversation between Melina and Brian Wyvill (University of Victoria, Professor and Canada Research Chair, retired), a long term SMI steering committee member and research contributor in shape modeling.
The interview that took place on the 9th November, 2021, via Zoom.
A Survey of Urban Reconstruction Musialski, P.; Wonka, P.; Aliaga, D. G. ...
Computer graphics forum,
September 2013, Letnik:
32, Številka:
6
Journal Article
Recenzirano
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This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under active research. The work reviewed in this survey ...stems from the following three research communities: computer graphics, computer vision and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved.
This paper provides a comprehensive overview of urban reconstruction. While there exists a considerable body of literature, this topic is still under active research. The work reviewed in this survey stems from the following three research communities: computer graphics, computer vision and photogrammetry and remote sensing. Our goal is to provide a survey that will help researchers to better position their own work in the context of existing solutions, and to help newcomers and practitioners in computer graphics to quickly gain an overview of this vast field. Further, we would like to bring the mentioned research communities to even more interdisciplinary work, since the reconstruction problem itself is by far not solved.
The current methods of computer modeling of cost models created at the development stage of a building construction project are presented in the paper. The paper considers the world and Russian ...experience on the use of automation technologies in order to accelerate the formation of cost models for capital construction objects. The current approach to model formation is visualized, indicating the necessary components of the process.
1. Predictive species distributional models are a cornerstone of wildlife conservation planning. Constructing such models requires robust underpinning science that integrates formerly disparate data ...types to achieve effective species management. 2. Greater sage-grouse Centrocercus urophasianus, hereafter 'sage-grouse' populations are declining throughout sagebrush-steppe ecosystems in North America, particularly within the Great Basin, which heightens the need for novel management tools that maximize the use of available information. 3. Herein, we improve upon existing species distribution models by combining information about sage-grouse habitat quality, distribution and abundance from multiple data sources. To measure habitat, we created spatially explicit maps depicting habitat selection indices (HSI) informed by >35 500 independent telemetry locations from >1600 sage-grouse collected over 15 years across much of the Great Basin. These indices were derived from models that accounted for selection at different spatial scales and seasons. A region-wide HSI was calculated using the HSI surfaces modelled for 12 independent subregions and then demarcated into distinct habitat quality classes. 4. We also employed a novel index to describe landscape patterns of sage-grouse abundance and space use (AUI). The AUI is a probabilistic composite of the following: (i) breeding density patterns based on the spatial configuration of breeding leks and associated trends in male attendance; and (ii) year-round patterns of space use indexed by the decreasing probability of use with increasing distance to leks. The continuous AUI surface was then reclassified into two classes representing high and low/no use and abundance. 5. Synthesis and applications. Using the example of sage-grouse, we demonstrate how the joint application of indices of habitat selection, abundance and space use derived from multiple data sources yields a composite map that can guide effective allocation of management intensity across multiple spatial scales. As applied to sage-grouse, the composite map identifies spatially explicit management categories within sagebrush steppe that are most critical to sustaining sage-grouse populations as well as those areas where changes in land use would likely have minimal impact. Importantly, collaborative efforts among stakeholders guide which intersections of habitat selection indices and abundance and space use classes are used to define management categories. Because sage-grouse are an umbrella species, our joint-index modelling approach can help target effective conservation for other sagebrush obligate species and can be readily applied to species in other ecosystems with similar life histories, such as central-placed breeding.
Leo Breiman's “Two Cultures” Raper, Simon
Significance (Oxford, England),
February 2020, 2020-02-01, 20200201, Letnik:
17, Številka:
1
Journal Article
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Simon Raper continues his exploration of key moments in the history of statistics with a close look at Leo Breiman's 2001 critique of the data modelling and algorithmic modelling cultures. Almost 20 ...years on, Breiman's words are perhaps more relevant than ever
Simon Raper continues his exploration of key moments in the history of statistics with a close look at Leo Breiman's 2001 critique of the data modelling and algorithmic modelling cultures. Almost 20 years on, Breiman's words are perhaps more relevant than ever.
This article focuses on the metaphysical foundations of educational philosophy. They are considered as the sources of future human modeling and the commission of certain actions. The article explores ...the evolution of these principles in the development of human civilization. The causality principle is considered as the entity's fundamental ontological characteristic. It suggests that a human being can realize his desire for freedom only by submitting his life to the universal objective law. In the causal perspective, any phenomenon is considered as the consequence of a cause and at the same time as the cause of some other consequence. The model of the world of primitive man could not and did not contain a picture of nature as a certain arrangement of phenomena, united by unified cause-and-effect laws. However, it does not mean that our primitive ancestors did not imagine the world around them without the categories of order, just in his mind, there was a different order.
An actual task is to design the modeling and visualizing components of the Industry 4.0 production division activity. The Industry 4.0 production division as a part of smart factory functions ...automatically with special cyber and physical systems (CPS). The smart factory projection is done as a program of the industrial economy sector prioritized development. To project a production division they use the systems of automatic projection (CAD) installed in an instrument designer PC. Smart factory CAD components are CPS graphical models means, which includes the production division graphical models and the models of product being manufactured. All graphical models have the full information similarity to the physical devices. There are components and description schemes of their interaction to create CAD software to project automatic productions.
Scientists, stakeholders and decision makers face trade-offs between adopting simple or complex approaches when modeling ecosystem services (ES). Complex approaches may be time- and data-intensive, ...making them more challenging to implement and difficult to scale, but can produce more accurate and locally specific results. In contrast, simple approaches allow for faster assessments but may sacrifice accuracy and credibility. The ARtificial Intelligence for Ecosystem Services (ARIES) modeling platform has endeavored to provide a spectrum of simple to complex ES models that are readily accessible to a broad range of users. In this paper, we describe a series of five “Tier 1” ES models that users can run anywhere in the world with no user input, while offering the option to easily customize models with context-specific data and parameters. This approach enables rapid ES quantification, as models are automatically adapted to the application context. We provide examples of customized ES assessments at three locations on different continents and demonstrate the use of ARIES' spatial multi-criteria analysis module, which enables spatial prioritization of ES for different beneficiary groups. The models described here use publicly available global- and continental-scale data as defaults. Advanced users can modify data input requirements, model parameters or entire model structures to capitalize on high-resolution data and context-specific model formulations. Data and methods contributed by the research community become part of a growing knowledge base, enabling faster and better ES assessment for users worldwide. By engaging with the ES modeling community to further develop and customize these models based on user needs, spatiotemporal contexts, and scale(s) of analysis, we aim to cover the full arc from simple to complex assessments, minimizing the additional cost to the user when increased complexity and accuracy are needed.
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•Ecosystem service (ES) modeling is typically time consuming.•Limited data and model reuse hinder new applications and progress in the field.•We demonstrate 5 cloud-based ARIES models that can run on global or customized data.•Models produce consistent outputs, including ES supply, demand and surplus/deficit.•Community-level data and model sharing can advance progress in ES modeling.
We are delighted to introduce you the publication of all reviewed papers which is the result of fruitful cooperation among the Technical University of Košice, University of Žilina, Alexander Dubček ...University of Trenčín, Slovak University of Technology in Bratislava, Kazimierz Wielki University in Bydgoszcz, Poznań University of Technology, Rzeszow University of Technology, Czestochowa University of Technology, Calisia University - Kalisz, Poland, AGH University of Science and Technology, Warsaw University of Technology, Regional technological institute, Jan Evangelista Purkyně University in Ústí nad Labem, Institute of Technology and Business in České Budějovice. The 26th International Slovak-Polish Scientific Conference on Machine Modelling and Simulations continues in the Slovak Republic and was held from 13th to 15th of September 2021 in Hotel Alexander, Bardejovské Kúpele, Slovak Republic. The international conference was established in 1996 and is held annually every year. List of Organizing Committee, Organizing Committee, Scientific Committee are available in this pdf.
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