Parametric modeling methods: theory and a case study

1999 ◽  
pp. 59-85
Author(s):  
Julie Spoerre ◽  
Ben Wang
2010 ◽  
Vol 26-28 ◽  
pp. 1075-1078 ◽  
Author(s):  
Zhan Xun Dong ◽  
Zhen Yu Gu ◽  
Zhan Wei Wu

Computer-Aided Ergonomics (CAE) makes it possible that people may build a virtual environment for ergonomics evaluation in the product’s digital model phase. Manikin with anthropometry data supplies fundamental information in design lifecycle, so it also plays an important role in CAE software. Thanks to the 3D scanning technology, we developed a new ergonomics manikin generation method which could create free-form surface human model from real body. Generation method concluded body scanning, model optimization, and combining skeleton stages. Finally, case study proved that Paper’s method could generate more exact manikin than former parametric modeling methods, and it would benefit customized products design.


Author(s):  
Marco Vitali ◽  
Roberta Spallone ◽  
Francesco Carota

In this chapter are developed some considerations about the heuristic potentialities of parametric digital modeling as a tool for analyzing and interpreting architectural heritage. Observed that the parametric thinking in architecture could be recognized almost from the origin, new parametric modeling software allows to verify the design criteria of the past. On the basis of previous studies on Baroque vaulted atria, this chapter develops, using parametric modeling tools, a real vocabulary of shapes and their possible combinations, suggested by the architectural literature of the time and the survey of about seventy atria in Turin. This method has been tested on the case study of the lunettes dome in the atrium of Palazzo Carignano.


Author(s):  
Rosa Meo ◽  
Maristella Matera

In this chapter, we present the usage of a modeling language, WebML, for the design and the management of dynamic Web applications. WebML also makes easier the analysis of the usage of the application contents by the users, even if applications are dynamic. In fact, it makes use of some special-purpose logs, called conceptual logs, generated by the application runtime engine. In this chapter, we report on a case study about the analysis of conceptual logs for testifying to the effectiveness of WebML and its conceptual modeling methods. The methodology of the analysis of the Web logs is based on the datamining paradigm of item sets and frequent patterns, and makes full use of constraints on the conceptual logs’ content. As a consequence, we could obtain many interesting patterns for application management such as recurrent navigation paths, the most frequently visited page’s contents, and anomalies.


2005 ◽  
Vol 118 (3) ◽  
pp. 1865-1865 ◽  
Author(s):  
Allan C. Aubert ◽  
Ed Green ◽  
Jennifer Bastiaan ◽  
Thomas Leclercq

Author(s):  
Johannes Ledolter ◽  
Lea VanderVelde

Abstract The Territorial Papers of the United States are a valuable and underused resource containing almost 10,000 documents written between 1789 and 1848 about the formation of new sovereign states from US territory. These communications between the federal government and frontier settlers comprise the actual discourse of the nation’s expansion over six decades. Digitizing the Territorial Papers permits the possibility of analyzing the entire corpus globally. Text mining and topic modeling methods give us a lens on the language patterns through which new state governments and the expanding nation were formed. An initial statistical analysis of the textual information provides a visualization of content, helps discern how ideals about governance emerged, and lays the foundation for developing more sophisticated hypotheses and theoretical constructs.


2015 ◽  
Vol 61 (4) ◽  
pp. 211-220 ◽  
Author(s):  
Ilya Shegelman ◽  
Pavel Budnik ◽  
Evsey Morozov

Abstract The modern technological process of timber harvesting is a complex system both technically and organizationally. Nowadays, the study of such systems and improvement of their efficiency is impossible without the use of mathematical modeling methods. The paper presents the methodology for the optimization of logging operations based on the queueing theory. We show the adapted queueing model, which characterizes the process of logging with the use of a harvesting set consisting of harvesters and forwarders. We also present the experimental verification of the designated model that confirmed mode’s adequacy. The analysis of the effectiveness of the investigated harvesting set was conducted and the recommendations for its optimization were drawn. The research was conducted in the Pryazhinsky District in the Republic of Karelia. We showed that significant improvement of operational efficiency of the investigated harvesting set in the study area cannot be done by adjusting separate machine operations (i.e. by reducing the time of operations execution and their steadiness). However, a change in the number of machines allowed significant improvement in the operational efficiency. The most optimal harvesting set design for the experimental area consisted of two harvesters and two forwarders.


2011 ◽  
Vol 19 (1) ◽  
pp. 107-135 ◽  
Author(s):  
Enrique Yeguas ◽  
Robert Joan-Arinyo ◽  
María Victoria Luzón

The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model would compute an index of the quality of the solution reached by the algorithm as a function of run-time. Conversely, if we fix an index of quality for the solution, the model would give the number of iterations to be expected. In this work, we develop a statistical model to describe the performance of PBIL and CHC evolutionary algorithms applied to solve the root identification problem. This problem is basic in constraint-based, geometric parametric modeling, as an instance of general constraint-satisfaction problems. The performance model is empirically validated over a benchmark with very large search spaces.


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