Dissimilarity of yellow-blue surfaces under neutral light sources differing in intensity: Separate contributions of light intensity and chroma

2008 ◽  
Vol 25 (3) ◽  
pp. 395-398 ◽  
Author(s):  
RUMI TOKUNAGA ◽  
ALEXANDER D. LOGVINENKO ◽  
LAURENCE T. MALONEY
Keyword(s):  
Light Intensity ◽  
Three Dimensional ◽  
The Other ◽  
One Dimension ◽  
Light Sources ◽  
Point Scale ◽  
Illumination Condition ◽  
Dimensional Scaling ◽  
Three Dimensional Configuration ◽  
Multi Dimensional Scaling

Observers viewed two side-by-side arrays each of which contained three yellow Munsell papers, three blue, and one neutral Munsell. Each array was illuminated uniformly and independently of the other. The neutral light source intensities were 1380, 125, or 20 lux. All six possible combinations of light intensities were set as illumination conditions. On each trial, observers were asked to rate the dissimilarity between each chip in one array and each chip in the other by using a 30-point scale. Each pair of surfaces in each illumination condition was judged five times. We analyzed this data using non-metric multi-dimensional scaling to determine how light intensity and surface chroma contributed to dissimilarity and how they interacted. Dissimilarities were captured by a three-dimensional configuration in which one dimension corresponded to differences in light intensity.

scholarly journals Bayesian Geographical Multi-Dimensional Scaling

2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Hayato Nishi ◽  
Yasushi Asami
Keyword(s):  
Three Dimensional ◽  
Geographical Location ◽  
Point Of View ◽  
Statistical Point ◽  
Dimensional Scaling ◽  
Regional Features ◽  
Geographical Distances ◽  
Strong Relation ◽  
Geographical Locations ◽  
Multi Dimensional Scaling

<p><strong>Abstract.</strong> Multi-dimensional scaling (MDS) is a popular method of visualizing the similarity of individuals in a dataset. When dissimilarities between individuals in a dataset are measured, MDS projects these individuals into the (typically two- or three-dimensional) map. In this map, because similar individuals are projected to be close to one another, distances between individuals correspond to their dissimilarities. In other words, MDS makes a similarity map of a dataset.</p><p>Some of the dissimilarities and distances have a strong relation to the geographical location. For example, time distances are similar to geographical distances, and regional features will be similar if the regions are close together. Therefore, it will be useful to compare the MDS projection and geographical locations. However, because MDS projection is not concerned with the rotation, parallel translation, and similarity expansion, it might be difficult to compare the projection to the actual geographical locations. When geographically related similarities are visualized, projected locations should be bound to the geographical locations.</p><p>In this article, we propose Bayesian Geographical Multidimensional Scaling (BGMDS), in which geographical restrictions of projections are given from a statistical point of view. BGMDS gives not only geographically bound projections, but also incorporates the uncertainty of the projections.</p>

scholarly journals AN INSTITUTIONAL REINFORCEMENT MODEL FOR THE PROTECTION OF MANGROVES SUSTAINABLE ECOTOURISM IN INDONESIA

2021 ◽  
Vol 35 (2) ◽  
pp. 471-479
Author(s):  
Pudji PURWANTI ◽  
◽  
Mochammad FATTAH ◽  
Vika Annisa QURRATA ◽  
Bagus Shandy NARMADITYA ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Law Enforcement ◽  
Quantitative Approach ◽  
The Other ◽  
Positive Contribution ◽  
Minimum Level ◽  
Tourist Destination ◽  
Dimensional Scaling ◽  
Reinforcement Model ◽  
Multi Dimensional Scaling

This study aims at examining the sustainability of mangrove ecotourism at Cengkrong Mangroves Ecotourism in Indonesia. A quantitative approach was adopted to capture the complexity of the phenomenon. The study was conducted in an area with most mangroves in Indonesia, including Cengkrong Ecotourism in Trenggalek, East Java. Sustainability is achieved when each stakeholder makes a positive contribution to others in ecology, economy, social, institutional and law enforcement, and technology. Using multi-dimensional scaling and Monte Carlo approach, the findings of this study indicate that Cengkrong mangrove ecotourism is classified as “sustainable” (76.20%). The highest dimension is ecology due to the minimum level of pollution in the area. Even Cengkrong beach mangrove is a tourist destination which is potentially polluted by the tourist; however, the area is not densely populated. Nevertheless, amongst the other indicator, social is the lowest (67.95%).

scholarly journals Influence of light curing source on microhardness of composite resins of different shades

2006 ◽  
Vol 14 (1) ◽  
pp. 10-15 ◽  
Author(s):  
André Luiz Fraga Briso ◽  
Tânia Maria Fedel ◽  
Sibéria de Morais Pereira ◽  
Sílvio José Mauro ◽  
Renato Herman Sundfeld ◽  
...  
Keyword(s):  
Light Intensity ◽  
Confidence Level ◽  
Composite Resin ◽  
Composite Resins ◽  
The Other ◽  
Light Sources ◽  
Low Light ◽  
Tukey Test ◽  
Light Curing ◽  
Hardness Values

INTRODUCTION: The evolution of light curing units can be noticed by the different systems recently introduced. The technology of LED units promises longer lifetime, without heating and with production of specific light for activation of camphorquinone. However, further studies are still required to check the real curing effectiveness of these units. PURPOSE: This study evaluated the microhardness of 4 shades (B-0.5, B-1, B-2 and B-3) of composite resin Filtek Z-250 (3M ESPE) after light curing with 4 light sources, being one halogen (Ultralux - Dabi Atlante) and three LED (Ultraled - Dabi Atlante, Ultrablue - DMC and Elipar Freelight - 3M ESPE). METHODS: 192 specimens were distributed into 16 groups, and materials were inserted in a single increment in cylindrical templates measuring 4mm x 4mm and light cured as recommended by the manufacturer. Then, they were submitted to microhardness test on the top and bottom aspects of the cylinders. RESULTS: The hardness values achieved were submitted to analysis of variance and to Tukey test at 5% confidence level. It was observed that microhardness of specimens varied according to the shade of the material and light sources employed. The LED appliance emitting greater light intensity provided the highest hardness values with shade B-0.5, allowing the best curing. On the other hand, appliances with low light intensity were the least effective. It was also observed that the bottom of specimens was more sensitive to changes in shade. CONCLUSION: Light intensity of LED light curing units is fundamental for their good functioning, especially when applied in resins with darker shades.

Reconstruction of Objects from their Projections Using Orthogonal Functions

1973 ◽  
Vol 31 ◽  
pp. 268-269
Author(s):  
Elrnar Zeitler
Keyword(s):  
Unit Area ◽  
Three Dimensional ◽  
One Dimension ◽  
Spatial Density ◽  
Dimensional Representation ◽  
Orthogonal Functions ◽  
Object A ◽  
Plane Normal ◽  
Dimensional Object ◽  
Spatial Density Distribution

Considering any finite three-dimensional object, a “projection” is here defined as a two-dimensional representation of the object's mass per unit area on a plane normal to a given projection axis, here taken as they-axis. Since the object can be seen as being built from parallel, thin slices, the relation between object structure and its projection can be reduced by one dimension. It is assumed that an electron microscope equipped with a tilting stage records the projectionWhere the object has a spatial density distribution p(r,ϕ) within a limiting radius taken to be unity, and the stage is tilted by an angle 9 with respect to the x-axis of the recording plane.

Three-Dimensional Reconstruction of Two Forms of the Chaperonin GRO EL

1990 ◽  
Vol 48 (1) ◽  
pp. 258-259
Author(s):  
J.L. Carrascosa ◽  
G. Abella ◽  
S. Marco ◽  
M. Muyal ◽  
J.M. Carazo
Keyword(s):  
Three Dimensional ◽  
The Other ◽  
Two Dimensional ◽  
Series Method ◽  
Three Dimensional Reconstruction ◽  
Structural Components ◽  
E Coli ◽  
Dimensional Reconstruction ◽  
Morphogenetic Factors ◽  
Tilt Series

Chaperonins are a class of proteins characterized by their role as morphogenetic factors. They trantsiently interact with the structural components of certain biological aggregates (viruses, enzymes etc), promoting their correct folding, assembly and, eventually transport. The groEL factor from E. coli is a conspicuous member of the chaperonins, as it promotes the assembly and morphogenesis of bacterial oligomers and/viral structures.We have studied groEL-like factors from two different bacteria:E. coli and B.subtilis. These factors share common morphological features , showing two different views: one is 6-fold, while the other shows 7 morphological units. There is also a correlation between the presence of a dominant 6-fold view and the fact of both bacteria been grown at low temperature (32°C), while the 7-fold is the main view at higher temperatures (42°C). As the two-dimensional projections of groEL were difficult to interprete, we studied their three-dimensional reconstruction by the random conical tilt series method from negatively stained particles.

Estimation of connectivities of neurons using multi-dimensional scaling

2014 ◽  
Vol 1 ◽  
pp. 382-385
Author(s):  
Kaori Kuroda ◽  
Hiroki Hashiguchi ◽  
Tohru Ikeguchi
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

Professional volleyball club emblem image for Multi-Dimensional Scaling

2017 ◽  
Vol 22 (2) ◽  
pp. 67-78
Author(s):  
Jeoung-Hak Lee ◽  
Seung-jae Lim ◽  
Sung-Yong Kim ◽  
ki-woong Kim
Keyword(s):  
Dimensional Scaling ◽  
Multi Dimensional Scaling
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