A New Update Strategy for Blocks with Low Correlation in 3-D Recursive Search

2018 ◽  
Author(s):  
Wontae Kim ◽  
Sehun Kim ◽  
Jin-Sung Kim ◽  
Hyuk-Jae Lee
Keyword(s):  
Low Correlation ◽  
Recursive Search ◽  
Update Strategy

Analisis Pengaruh ROA (Return On Assets), ROE (Return On Equity), dan EPS (Earning Per Share) terhadap Harga Saham pada Kelompok Industri Barang Konsumsi yang Terdaftar di BEI (Bursa Efek Indonesia)

2011 ◽  
Vol 2 (1) ◽  
pp. 173
Author(s):  
Sunaryo Sunaryo
Keyword(s):  
Stock Exchange ◽  
Primary Objective ◽  
Share Price ◽  
Return On Assets ◽  
Return On Equity ◽  
Low Correlation ◽  
Industrial Samples ◽  
Industrial Groups

The primary objective of this research is to learn correlation and effecting among EPS, ROA, and ROE with share price neither partial nor simultaneous. Data secondary collected by industrial samples of consumer groups listed at Indonesian Stock Exchange and the journal preceding research persons. The results of the research describe that EPS has an effecting significant and a high correlation, but ROA and ROE have not any effecting significant and low correlation, but ROA, ROE, and EPS have the effecting significant and high correlation simultaneous to share price. The topic of this research can be continued with other industrial groups or added a lot of new independence variables because if compared to preceding research persons mention the same and differences of its. 

scholarly journals 3D Mesh Pre-processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics

2021 ◽  
Vol 13 (11) ◽  
pp. 2145
Author(s):  
Yawen Liu ◽  
Bingxuan Guo ◽  
Xiongwu Xiao ◽  
Wei Qiu
Keyword(s):  
Real Data ◽  
Geometric Constraints ◽  
Feature Point ◽  
Feature Points ◽  
Denoising Method ◽  
3D Mesh ◽  
Mesh Denoising ◽  
Scene Structure ◽  
Sharp Edges ◽  
Update Strategy

3D mesh denoising plays an important role in 3D model pre-processing and repair. A fundamental challenge in the mesh denoising process is to accurately extract features from the noise and to preserve and restore the scene structure features of the model. In this paper, we propose a novel feature-preserving mesh denoising method, which was based on robust guidance normal estimation, accurate feature point extraction and an anisotropic vertex denoising strategy. The methodology of the proposed approach is as follows: (1) The dual weight function that takes into account the angle characteristics is used to estimate the guidance normals of the surface, which improved the reliability of the joint bilateral filtering algorithm and avoids losing the corner structures; (2) The filtered facet normal is used to classify the feature points based on the normal voting tensor (NVT) method, which raised the accuracy and integrity of feature classification for the noisy model; (3) The anisotropic vertex update strategy is used in triangular mesh denoising: updating the non-feature points with isotropic neighborhood normals, which effectively suppressed the sharp edges from being smoothed; updating the feature points based on local geometric constraints, which preserved and restored the features while avoided sharp pseudo features. The detailed quantitative and qualitative analyses conducted on synthetic and real data show that our method can remove the noise of various mesh models and retain or restore the edge and corner features of the model without generating pseudo features.

Validating Perceived Sustainable Design Features Using a Novel Collage Approach

2021 ◽  
pp. 1-46
Author(s):  
Nasreddine El Dehaibi ◽  
Ting Liao ◽  
Erin F. MacDonald
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Sustainable Design ◽  
Design Method ◽  
Online Reviews ◽  
Design Features ◽  
Sustainable Products ◽  
Low Correlation ◽  
Social Environmental

Abstract Designers are challenged to create sustainable products that resonate with customers, often focusing on engineered sustainability while neglecting perceived sustainability. We previously proposed a method for extracting perceived sustainable features from online reviews using annotations and natural language processing, testing our method with French press coffee carafes. We identified that perceived sustainability may not always align with engineered sustainability. We now investigate how designers can validate perceived features extracted from online reviews using a relatively new design method of collage placement where participants drag and drop products on a collage and select features from a drop-down menu. We created collage activities for participants to evaluate French press products on the three aspects of sustainability: social, environmental, and economic, and on how much they like the products. During the activity participants placed products along the two axes of the collage, sustainability and likeability, and labeled products with descriptive features. We found that participants more often selected our previously extracted features when placing products higher on the sustainability axis, validating that the perceived sustainable features resonate with users. We also measured a low correlation between the two-axes of the collage activity, indicating that perceived sustainability and likeability can be measured separately. In addition, we found that product perceptions across sustainability aspects may differ between demographics. Based on these results, we confirm that the collage is an effective tool for validating sustainability perceptions and that features perceived as sustainable from online reviews resonate with customers when thinking of various sustainability aspects.

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