scholarly journals World Environment Day Speech by President of Brazil

1991 ◽  
Vol 18 (2) ◽  
pp. 99-100
Author(s):  
Fernando Collor
Keyword(s):  
2019 ◽  
Vol 2019 (1) ◽  
pp. 237-242
Author(s):  
Siyuan Chen ◽  
Minchen Wei

Color appearance models have been extensively studied for characterizing and predicting the perceived color appearance of physical color stimuli under different viewing conditions. These stimuli are either surface colors reflecting illumination or self-luminous emitting radiations. With the rapid development of augmented reality (AR) and mixed reality (MR), it is critically important to understand how the color appearance of the objects that are produced by AR and MR are perceived, especially when these objects are overlaid on the real world. In this study, nine lighting conditions, with different correlated color temperature (CCT) levels and light levels, were created in a real-world environment. Under each lighting condition, human observers adjusted the color appearance of a virtual stimulus, which was overlaid on a real-world luminous environment, until it appeared the whitest. It was found that the CCT and light level of the real-world environment significantly affected the color appearance of the white stimulus, especially when the light level was high. Moreover, a lower degree of chromatic adaptation was found for viewing the virtual stimulus that was overlaid on the real world.


Impact ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 9-11
Author(s):  
Tomohiro Fukuda

Mixed reality (MR) is rapidly becoming a vital tool, not just in gaming, but also in education, medicine, construction and environmental management. The term refers to systems in which computer-generated content is superimposed over objects in a real-world environment across one or more sensory modalities. Although most of us have heard of the use of MR in computer games, it also has applications in military and aviation training, as well as tourism, healthcare and more. In addition, it has the potential for use in architecture and design, where buildings can be superimposed in existing locations to render 3D generations of plans. However, one major challenge that remains in MR development is the issue of real-time occlusion. This refers to hiding 3D virtual objects behind real articles. Dr Tomohiro Fukuda, who is based at the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering at Osaka University in Japan, is an expert in this field. Researchers, led by Dr Tomohiro Fukuda, are tackling the issue of occlusion in MR. They are currently developing a MR system that realises real-time occlusion by harnessing deep learning to achieve an outdoor landscape design simulation using a semantic segmentation technique. This methodology can be used to automatically estimate the visual environment prior to and after construction projects.


2021 ◽  
pp. 096739112110093
Author(s):  
Edgar Vázquez-Núñez ◽  
Andrea M Avecilla-Ramírez ◽  
Berenice Vergara-Porras ◽  
María del Rocío López-Cuellar

The current world environment scenario demands new and more eco-friendly solutions to global problems that cover the demands for materials. This sector has included green polymer-based composites and natural reinforcers from origins of renewable sources, these Green Composites (GC), natural-fiber-reinforced bio-composites in which the matrix is a bio-based polymer, have shown attractive characteristics. Biodegradability is one of the most important attributes for these new “green” materials, in that this characteristic allows for their introduction into the world market as an environmental solution. The manufacturing processes for obtaining these materials have observed important improvements because each raw material exhibits different properties and characteristics and their eco-friendly character has facilitated its incorporation into diverse sectors, such as construction, automotive, packaging, and medicine, among others. At present, this segment represents an important income for some economies, especially those where these resources are available, enhancing the creation of green economies, strengthening the world’s efforts toward sustainability.


Author(s):  
Sidney D’Mello ◽  
Eric Mathews ◽  
Lee McCauley ◽  
James Markham

We studied the characteristics of four commercially available RFID tags such as their orientation on an asset and their position in a three dimensional real world environment to obtain comprehensive data to substantiate a baseline for the use of RFID technology in a diverse supply chain management setting. Using RFID tags manufactured by four different vendors and a GHz Transverse Electromagnetic (GTEM) cell, in which an approximately constant electromagnetic (EM) field was maintained, we characterized the tags based on horizontal and vertical orientation on a simulated asset. With these baseline characteristics determined, we moved two of the four tags through a real world environment in three dimensions using an industrial robotic system to determine the effect of asset position in relation to the reader on tag readability. Combining the data collected over these two studies, we provide a rich analysis of the feasibility of asset tracking in a real world supply chain, where there would likely be multiple tag types. We offer fine grained analyses of the tag types and make recommendations for diverse supply chain asset tracking.


1981 ◽  
Vol 49 (3) ◽  
pp. 851-855
Author(s):  
Bernice N. Ezeilo

This study examined the criteria used by 138 Zambian children in their responses to Furth's non-verbal weight conservation test via posttest interviews. Thirty seven and seven tenths percent of the children responded by weight, 29% by size, 4.4% by size and weight, and 1.4% by size and shape. Others either did not respond at all or gave other nonrelevant responses. Of the conservers, 46% responded by weight while 53% responded by nonweight criteria. The remaining 1% gave nonrelevant responses. All were expected to respond by weight alone. These results raise some doubt about the validity of evidence for weight conservation among African children, based on Furth's non-verbal technique. To improve communication of the weight concept, it is recommended that this test be modified to include a pretraining in size-weight discrimination. A major obstacle to the effective use of the clinical method, by the non-indigenous, for the study of cognitive processes in Third World environment is the problem of verbal communication, so attempts are made to use non-verbal methods. One such attempt was made by Heron and Simonsson (3) who used Furth's non-verbal conservation test to study weight conservation by Zambian children. Furth (2) developed this technique for studying weight conservation of deaf children. It involves essentially three stages. The first requires practice with weights of different sizes. Second, there is practice with obviously equal and obviously unequal balls of plasticine. The third stage is the test. The two practice stages were to ensure that the children had fully understood that same weight was indicated by a horizontal movement of both hands simultaneously and that a judgment of heavier must be communicated by allowing the hand to fall sharply on the table.


2021 ◽  
Vol 6 (15) ◽  
pp. 454-481
Author(s):  
Engincan Doğmuş

Postmodern culture, which developed after the modern period, is in a structure in which postfordist consumption understanding is adopted instead of fordist consumption and consumption for image purposes is at the forefront. In this context, brands create their images in order to be remembered in the current culture and to create a lifestyle for the continuity of consumption. The creation process of images, on the other hand, is through advertisements where the continuous production and consumption of high reality and commodities is made, and it shows a common development with postmodern culture brand images. Within the scope of the study, a descriptive approach and content analysis method were preferred in order to make sense of how brand images are produced through advertisements in the postmodern period and to deal with the constructing dimension. Accordingly, the top 10 brands in the ranking of the Brand Finance 2021 Turkey Report were selected as a sample and the ads of the selected brands between 1 June 2021 and 5 June 2021 with the theme of world environment day were analyzed. As a result of the analysis, within the framework of advertising and consumption; brand images in the postmodern period, where there are higher realities, fragmented consumer structure, production and consumption change places and the subject is decentralized; Impressions can be evaluated in various ways such as symbolism, personification, meanings and messages and psychological elements. Looking at the general position, it has been concluded that the structural features of postmodernity are effective in creating and creating brand image characters, and in this respect, it shapes brand images.


2021 ◽  
pp. 1-15
Author(s):  
Yongjie Chu ◽  
Touqeer Ahmad ◽  
Lindu Zhao

Low-resolution face recognition with one-shot is a prevalent problem encountered in law enforcement, where it generally requires to recognize the low-resolution face images captured by surveillance cameras with the only one high-resolution profile face image in the database. The problem is very tough because the available samples is quite few and the quality of unknown images is quite low. To effectively address this issue, this paper proposes Adapted Discriminative Coupled Mappings (AdaDCM) approach, which integrates domain adaptation and discriminative learning. To achieve good domain adaptation performance for small size dataset, a new domain adaptation technique called Bidirectional Locality Matching-based Domain Adaptation (BLM-DA) is first developed. Then the proposed AdaDCM is formulated by unifying BLM-DA and discriminative coupled mappings into a single framework. AdaDCM is extensively evaluated on FERET, LFW, and SCface databases, which includes LR face images obtained in constrained, unconstrained, and real-world environment. The promising results on these datasets demonstrate the effectiveness of AdaDCM in LR face recognition with one-shot.


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