Identifying High-Value CAD Models: An Exploratory Study on Dimensional Variability As Complexity Indicator

2018 ◽  
Author(s):  
Jorge D. Camba ◽  
Manuel Contero ◽  
Pedro Company ◽  
David Pérez-López ◽  
Jeffrey Otey
Keyword(s):  
Parametric Model ◽  
Parametric Models ◽  
Graph Structure ◽  
Semantic Level ◽  
Digital Product ◽  
Quantitative Metrics ◽  
Reliable Assessment ◽  
Cad Models ◽  
Downstream Processes

Digital product data quality has proven to be a unifying theme in designing and reusing efficient products, particularly in the context of the Model-Based Enterprise (MBE). More specifically, the quality of the master model (usually a history-based parametric model) is critical, as it determines the quality of all secondary models used in subsequent downstream processes. However, no quantitative metrics exist that can provide a reliable assessment of quality at a high semantic level. In this paper, we introduce dimensional variability as a quality indicator for parametric models that connects the effective variability range of the dimensional constraints in a model to the robustness and flexibility of the parametric geometry, which determines its reusability. As a validation effort, we report the results of a study where a set of parametric models of varying complexity was analyzed, and discuss the significance of the links between the proposed metric and various aspects of the internal graph structure of the CAD model.

A Study on Sampling Strategies to Determine the Variability of Parametric History-Based 3D CAD Models

2018 ◽  
Author(s):  
Manuel Contero ◽  
Ferran Naya ◽  
David Pérez-López ◽  
Pedro Company ◽  
Jorge D. Camba
Keyword(s):  
Volume Ratio ◽  
Sampling Strategies ◽  
Geometric Complexity ◽  
3D Cad ◽  
Complexity Metrics ◽  
Digital Product ◽  
Quantitative Metrics ◽  
Cad Models ◽  
Number Of Faces

Design reusability largely depends on the parametric quality of its associated digital product data. In this regard, the quality of the master model (typically a history-based parametric model) is crucial. However, no quantitative metrics exist that can provide an accurate assessment of parametric complexity and model reusability. In this paper, a set of 370 parametric 3D CAD models of various geometric complexities were analyzed to assess their robustness when undergoing alteration. Three indicators for estimating the modification ability of the model are proposed: Ratio for Exhaustive Modification, Ratio for Selective Exhaustive Modification, and Ratio for Weighted Exhaustive Modification. Correlations between these indicators as well as other geometric complexity metrics are studied. The geometric complexity metrics considered in our study include number of faces, surface area to volume ratio, sphericity, and convexity. Our experimental results with the proposed indicators provide new insights on the quantitative assessment of parametric complexity and support their use as reliable indicators of CAD model reusability.

ON THE EXPERT’S RIGHT TO BE PRESENT AT LEGAL PROCEEDINGS

2016 ◽  
Vol 15 ◽  
pp. 163-171
Author(s):  
M. G. Shcherbakovskiy
Keyword(s):  
Initial Data ◽  
Legal Proceedings ◽  
Reliable Assessment ◽  
Data Acquiring ◽  
Selection Of

The article discusses the reasonsfor an expert to participate in legal proceedings. The gnoseological reason for that consists of the bad quality of materials subject to examination that renders the examination either completely impossible or compromises objective, reasoned and reliable assessment of the findings. The procedural reason consists ofa proscription for an expert to collect evidence himself or herself. The author investigates into the ways of how an expert can participate in legal proceedings. If the defense invites an expert to participate in the proceedings, then it is recommended that his or her involvement should be in the presence of attesting witnesses and recorded in the protocol. In the course of the legal proceedings an expert has the following tasks: adding initial data, acquiring new initial data, understanding the situation of the incident, acquiring new objects to be studied, including samples for examination. An expert’s participation in legal proceedings differs from the participation of a specialist or an examination on the scene of the incident. The author describes the tasks that an expert solves in the course of legal proceedings, the peculiarities ofan investigation experiment practices, the selection of samples for an examination, inspection, interrogation.

Structural-parametric model of an electroelastic actuator for nanomechanics

2020 ◽  
pp. 3-11
Author(s):  
S.M. Afonin
Keyword(s):  
Transfer Function ◽  
Piezoelectric Actuator ◽  
Transfer Functions ◽  
Piezoelectric Effect ◽  
Parametric Model ◽  
Elastic Compliance ◽  
Parametric Models ◽  
Piezo Actuator ◽  
Structural Scheme ◽  
Model Transfer

Structural-parametric models, structural schemes are constructed and the transfer functions of electro-elastic actuators for nanomechanics are determined. The transfer functions of the piezoelectric actuator with the generalized piezoelectric effect are obtained. The changes in the elastic compliance and rigidity of the piezoactuator are determined taking into account the type of control. Keywords electro-elastic actuator, piezo actuator, structural-parametric model, transfer function, parametric structural scheme

Beyond Deep Learning: An Econometric Example

2020 ◽  
Vol 28 (Supp01) ◽  
pp. 31-38 ◽  
Author(s):  
Ruofan Liao ◽  
Paravee Maneejuk ◽  
Songsak Sriboonchitta
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Prediction Models ◽  
Original Data ◽  
Parametric Model ◽  
Parametric Models ◽  
The Past ◽  
Currency Exchange ◽  
Currency Exchange Rate ◽  
Linear And Nonlinear

In the past, in many areas, the best prediction models were linear and nonlinear parametric models. In the last decade, in many application areas, deep learning has shown to lead to more accurate predictions than the parametric models. Deep learning-based predictions are reasonably accurate, but not perfect. How can we achieve better accuracy? To achieve this objective, we propose to combine neural networks with parametric model: namely, to train neural networks not on the original data, but on the differences between the actual data and the predictions of the parametric model. On the example of predicting currency exchange rate, we show that this idea indeed leads to more accurate predictions.

A Non Parametric Model for Magneto Rheological Dampers

1999 ◽  
Author(s):  
Mehdi Ahmadian ◽  
Xubin Song
Keyword(s):  
Test Data ◽  
Mr Damper ◽  
Parametric Model ◽  
Parametric Models ◽  
Magnetic Saturation ◽  
Mr Dampers ◽  
Electro Magnetic ◽  
Magneto Rheological ◽  
Force Characteristics ◽  
Non Parametric

Abstract A non-parametric model for magneto-rheological (MR) dampers is presented. After discussing the merits of parametric and non-parametric models for MR dampers, the test data for a MR damper is used to develop a non-parametric model. The results of the model are compared with the test data to illustrate the accuracy of the model. The comparison shows that the non-parametric model is able to accurately predict the damper force characteristics, including the damper non-linearity and electro-magnetic saturation. It is further shown that the parametric model can be numerically solved more efficiently than the parametric models.

scholarly journals The Parametric Model of the Human Mandible Coronoid Process Created by Method of Anatomical Features

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Nikola Vitković ◽  
Jelena Mitić ◽  
Miodrag Manić ◽  
Miroslav Trajanović ◽  
Karim Husain ◽  
...  
Keyword(s):  
3D Models ◽  
Parametric Model ◽  
Coronoid Process ◽  
Parametric Models ◽  
Specific Patient ◽  
Medical Practitioners ◽  
Anatomical Features ◽  
X Ray ◽  
Human Bones ◽  
Geometrical Data

Geometrically accurate and anatomically correct 3D models of the human bones are of great importance for medical research and practice in orthopedics and surgery. These geometrical models can be created by the use of techniques which can be based on input geometrical data acquired from volumetric methods of scanning (e.g., Computed Tomography (CT)) or on the 2D images (e.g., X-ray). Geometrical models of human bones created in such way can be applied for education of medical practitioners, preoperative planning, etc. In cases when geometrical data about the human bone is incomplete (e.g., fractures), it may be necessary to create its complete geometrical model. The possible solution for this problem is the application of parametric models. The geometry of these models can be changed and adapted to the specific patient based on the values of parameters acquired from medical images (e.g., X-ray). In this paper, Method of Anatomical Features (MAF) which enables creation of geometrically precise and anatomically accurate geometrical models of the human bones is implemented for the creation of the parametric model of the Human Mandible Coronoid Process (HMCP). The obtained results about geometrical accuracy of the model are quite satisfactory, as it is stated by the medical practitioners and confirmed in the literature.

scholarly journals Model Averaging with AIC Weights for Hypothesis Testing of Hormesis at Low Doses

Dose-Response ◽  
2017 ◽  
Vol 15 (2) ◽  
pp. 155932581771531
Author(s):  
Steven B. Kim ◽  
Nathan Sanders
Keyword(s):  
Hypothesis Testing ◽  
Dose Response ◽  
Statistical Power ◽  
Parametric Model ◽  
Semiparametric Models ◽  
Parametric Models ◽  
Large Sample Size ◽  
Low Doses ◽  
P Values ◽  
The Impact

For many dose–response studies, large samples are not available. Particularly, when the outcome of interest is binary rather than continuous, a large sample size is required to provide evidence for hormesis at low doses. In a small or moderate sample, we can gain statistical power by the use of a parametric model. It is an efficient approach when it is correctly specified, but it can be misleading otherwise. This research is motivated by the fact that data points at high experimental doses have too much contribution in the hypothesis testing when a parametric model is misspecified. In dose–response analyses, to account for model uncertainty and to reduce the impact of model misspecification, averaging multiple models have been widely discussed in the literature. In this article, we propose to average semiparametric models when we test for hormesis at low doses. We show the different characteristics of averaging parametric models and averaging semiparametric models by simulation. We apply the proposed method to real data, and we show that P values from averaged semiparametric models are more credible than P values from averaged parametric methods. When the true dose–response relationship does not follow a parametric assumption, the proposed method can be an alternative robust approach.

Optimal Parametric Model for Vortex Tube Using DOE

2011 ◽  
Author(s):  
Basel Alsayyed ◽  
Mohammad O. Hamdan ◽  
Emad Elnajjar
Keyword(s):  
Vortex Tube ◽  
Parametric Model ◽  
Geometric Parameters ◽  
Parametric Models ◽  
Outlet Temperature ◽  
Key Factors ◽  
Response Factors ◽  
Outlet Flow ◽  
Mass Flow Rates ◽  
Heating Load

In this study, a vortex tube geometric parametric model will be developed and the parameters will be considered as factors that affect the performance of a vortex tube. SolidWorks is used to generate parametric models; Minitab is used for Design Of Experiments (DOE) combination setups. A 3D printer is used to produce a physical model of the vortex tube to fit each of the DOE combinations. The study reports the effect of different geometric parameters on the cooling/heating load and the outlet temperature. The geometric parameters are investigated by measuring temperatures, pressures and mass flow rates for the inlet and hot/cold outlet flow. Two key factors were considered, namely mass fraction and angle of nozzle. Response factors analyzed are the maximum hot temperature (THMax) and the minimum cold temperature (TCMin).

scholarly journals N.G. JUSOITY AS A THEORETIC AND PRACTICE OF ART TRANSLATION

Kavkaz-forum ◽  
2020 ◽  
Author(s):  
Л.Б. ДЗАПАРОВА
Keyword(s):  
Research Field ◽  
Theory And Practice ◽  
Literary Translation ◽  
Theoretical Understanding ◽  
Semantic Level ◽  
Literary Journals ◽  
Poetic Translation ◽  
Problems Of Translation ◽  
First Time

Проблемы теории и практики художественного перевода как феномена межкультурной коммуникации в наше время актуализируются в современной филологической науке. Расширяется исследовательское поле в этой области научного знания для переводоведов и всех, кто интересуется проблемами диалога культур. Выбор темы исследования обусловлен и прошедшим в этом году 95-летим юбилеем известного осетинского поэта, драматурга, литературоведа Нафи Григорьевича Джусойты. В статье рассматривается вклад народного писателя Осетии в теоретическое осмысление проблем художественного перевода; впер­вые анализируется одно из самых сложных для перевода стихотворений А.С. Пушкина «Пророк» в интерпретации Н. Джусойты. В частности, автором в статье представлен анализ опубликованных Джусойты на страницах центральных литературных журналов дискуссионных работ по наиболее актуальным проблемам переводоведения. В них Джусойты фокусирует внимание на вопросах верности перевода оригиналу, повышения качества подстрочников, новаторства и модер­низации классических произведений; обуславливает важность переводческого чтения в процессе постижения оригинала; определяет специфику поэтического перевода; выступает против украшательства в переводе, демонстрации на всесоюзном уровне слабых оригиналов и несовершенных переводов. В целом, Джусойты, полемизируя с известными теоретиками, предлагает свою концепцию перевода, начиная от выбора произведения и до конечного результата – текста на другом языке. Перед нами круг проблем, которые до сих пор волнуют специалистов по художественно­му переводу. Автором статьи также представлен сравнительно-сопоставительный анализ стихотворения А. Пушкина в оригинале и в переводческой интерпретации Н.Г. Джусойты. Сличение текстов на смысловом уровне показало стремление Джусойты найти художественные средства, которые помогают раскрыть основной образ. Но не везде раскрыт двуплановый смысл, запечатленный в лексических единицах исходного языка. The problems of the theory and practice of literary translation as a phenomenon of intercultural communication are still actualized in modern philological science. The research field in this area of scientific knowledge is expanding for translators and those interested in the problems of the dialogue of cultures. The choice of the research topic was also conditioned by the 95th anniversary of the famous Ossetian poet, playwright, literary critic Nafi Grigorievich Jusoyty, celebrated this year. The article examines the contribution of the people’s writer of Ossetia to the theoretical understanding of the problems of literary translation; for the first time one of the most difficult poems for translation by A.S. Pushkin’s «Prophet» in the interpretation of N. Jusoyty is reviewed. In particular, the author in the article presents an analysis of the discussion papers published by Jusoyty on the pages of central literary journals on the most pressing problems of translation studies. In them, Jusoyty focuses on the issues of closeness to the original, improving the quality of interlinear translations, innovation and modernization of classical works; determines the importance of translation reading in the process of comprehending the original; determines the specifics of poetic translation; opposes embellishment in translation, the demonstration of weak originals and imperfect translations at the all-Union level. In general, Jusoyty, arguing with well-known theorists, offers his own concept of translation, starting from the choice of a work and up to the final result – a text in another language. We are faced with a range of problems that still concern specialists in literary translation. The author of the article also presents a comparative analysis of A. Pushkin’s poem in the original and in t/he translation interpretation of N.G. Jusoyty. Comparison of the texts at the semantic level showed Jusoyty’s desire to find close artistic means that help to reveal the main image. But not everywhere is disclosed the two-dimensional meaning embodied in the lexical units of the source language.

Perception modules and virtual creolization of a text in a verbal landscape

2021 ◽  
Vol 1 (6) ◽  
pp. 53-59
Author(s):  
Bakhyt N. Zhanturina ◽  
◽  
Irina V. Vashunina ◽  
Keyword(s):  
Cognitive Activity ◽  
Text Generation ◽  
Semantic Level ◽  
Verbal Component ◽  
Nature Perception

Text generation in poetic landscapes is considered from cognitive positions, with nature perception as part of spatial event conceptualization procedure. Emily Dickinson’s poems (No. 140, 668) and their Russian versions were taken as illustrations as for perception modules as sensual components. Virtual creolization was dealt with, as well as ways of translation equivalence, omission and forced restructuring. Perceptual thinking is a lower pre-semantic level not represented in a clear way. Apart from lexemes with meanings based on a clearly-cut perceptual component percepts are present in sensory words as traces of former perception. Modularity in representing percepts and their images generates a textual quality of virtual creolization, synthesis of verbal component and that of its representation image together with /without a reminiscence from another module. Text generation in a primary and translation texts was described as a reconstruction of perceptual and cognitive activity inherent to observer-speaker in an actual period. The analysis shows virtual creolization as a characteristic of initial and translation texts, which makes omission and forced restructuring transformations necessary.

Sign in / Sign up

Export Citation Format

Share Document