scholarly journals A Study on the Physical Characteristics of the Selection of Location in Yangdong Village

2014 ◽  
Vol 25 (6) ◽  
pp. 49-56
Author(s):  
Nan-A Kim ◽  
Suk-Ha Jang
2017 ◽  
Vol 1 (2) ◽  
pp. 537-546
Author(s):  
Stefanie Wefers ◽  
Ashish Karmacharya ◽  
Mieke Pfarr-Harfst ◽  
Frank Boochs

It is common for cultural heritage applications to use spatial and/or spectral data for documentation, analysis and visualisation. Knowledge on data requirements coming from the cultural heritage application and technical alternatives to generate the required data based on object characteristics and other influencings factors paves the way for the optimal selection of a recording technology. It is a collaborative process requiring knowledge of experts from cultural heritage domains and technical domains. Currently, this knowledge is structured and stored in an ontology (so-called COSCHKR). It has the purpose to support CH experts not familiar with technologies through prescribing an optimal spatial or spectral recording strategy adapted to the physical characteristics of the cultural heritage object and the data requirements of the targeted CH application. The creation of digital 3D reconstructed models for analysis and visualisation purposes is getting more and more common within humanities disciplines. Therefore, an implementation of mechanisms involved in visualisation applications into this ontology would have huge benefits in creating a powerful recommendation solution. A structured view on such project workflows facilitates a rough match with the existing knowledge representation. Illustrating the overall structure of COSCHKR, this paper addresses and discusses challenges in structuring the processes of cultural heritage visualisation and implementing these into the ontology.


Vestnik MGSU ◽  
2021 ◽  
pp. 347-359
Author(s):  
Andrey A. Askadskii ◽  
Sergey V. Matseevich ◽  
Tat’yana A. Matseevich

Introduction. For the first time, a model and a principle for constructing an appropriate computer program for the selection of polymer networks with a given interval of a number of physical characteristics are proposed. These characteristics include density, the temperature of the onset of intense thermal degradation, thermal conductivity, water permeability, and the stress-optical coefficient. As an example, 16 smallest base fragments are given, which, when attached to each other, allow the selection of structural fragments of repeating fragments of polymers of the following classes: polyolefins, vinyl polymers, polystyrene, polyamides, polyethers and polyesters, polycarbonates, polyetherketones, polyimides, polysulfides, polysulfones, silicone polymers, polyurethanes, cellulose derivatives, methacrylic polymers, etc. The purpose of the study is to develop a model for writing a computer program that allows the selection of structural fragments of network polymers possessing specified intervals of physical characteristics. For polymers used in the construction industry, the most important are the glass transition temperature, the stress-optical coefficient, density, water permeability, and thermal conductivity. Materials and methods. A repeating fragment of the network is selected from the smallest basic fragments, which are connected to each other using a control matrix of interactions. The matrix contains labels that allow you to control the interaction of carbon with three carbon atoms, with a carbon atom and two nitrogen atoms, with two carbon atoms and one oxygen atom, with two carbon atoms and one nitrogen atom, with four carbon atoms. There are also labels that control the interaction of carbon atoms included in the aromatic cycles with two carbon atoms and one oxygen atom, with four carbon atoms, with four nitrogen atoms, with two carbon atoms and one sulfur atom, and three oxygen atoms. This makes it possible to select a huge amount of cross-linked polymer. Results. As an example, the possible chemical structure of 14 cross-linked nodes of the polymer network is presented and the corresponding calculations are carried out, showing the adequacy of the model and the principle of constructing a computer program. The structures of the five cross-linked nodes of polymer network were used and the following physical characteristics of the resulting networks were calculated: density, the temperature of the onset of intense thermal degradation, water permeability, thermal conductivity, and the stress-optical coefficient. All these characteristics are important for the manufacture of building materials. Conclusions. The results of the work allow us to write a real computer program for the selection of repeating fragments of polymer networks that have a given interval of a number of important physical characteristics of network polymers. Among these characteristics are not only those listed above, but also other characteristics, such as glass transition temperature, Hildebrand solubility parameter, surface energy, heat capacity, intermolecular interaction energy, permittivity, etc.


2007 ◽  
Vol 37 (12) ◽  
pp. 2413-2420 ◽  
Author(s):  
Cynthia L. Riccardi ◽  
Susan J. Prichard ◽  
David V. Sandberg ◽  
Roger D. Ottmar

Wildland fuel characteristics are used in many applications of operational fire predictions and to understand fire effects and behaviour. Even so, there is a shortage of information on basic fuel properties and the physical characteristics of wildland fuels. The Fuel Characteristic Classification System (FCCS) builds and catalogues fuelbed descriptions based on realistic physical properties derived from direct or indirect observation, inventories, expert knowledge, inference, or simulated fuel characteristics. The FCCS summarizes and calculates wildland fuel characteristics, including fuel depth, loading, and surface area. Users may modify fuelbeds and thereby capture changing fuel conditions over time and (or) under different management prescriptions. Fuel loadings from four sample fuelbed pairs (i.e., pre- and post-prescribed fire) were calculated and compared by using FCCS to demonstrate the versatility of the system and how individual fuel components, such as shrubs, nonwoody fuels, woody fuels, and litter, can be calculated and summarized. The ability of FCCS to catalogue and summarize complex fuelbeds and reflect dynamic fuel conditions allows calculated results to be used in a variety of applications including surface and crown fire predictions, carbon assessments, and wildlife habitat management.


Author(s):  
Abhishek Jha ◽  

Cement comprises major proportion in any construction materials and the right selection of cement is equally important for construction companies. The objective of this research is to find the criteria used by the construction companies in cement selection and using the required criteria adopt TOPSIS (Technique of Order Preference by Similarity to Ideal Solution) as Multi Criteria Decision Making method for the selection of optimal cement brand among various cement brands for the construction projects in Kathmandu. Another objective is to find the physical characteristics of the selected cement brands in laboratory. For the methodology, non-random sampling was adopted. Data were collected by questionnaire, semi-structured interviews, KII and Lab test. For physical characteristics comparison of cement brands, samples were collected from hardware shop and lab test were conducted in private lab. For the factors in cement selection quality, ex-factory rate, credit-terms, delivery-time, relationship, self-clinker production, production-capacity, technology and financial-conditions were identified and ranked in relevant order. Six factors were chosen for TOPSIS for the six cement brands for Kathmandu valley. From TOPSIS, it was foundSarbottam cement is best suited for projects in Kathmandu valley in terms of physical strength Hongshi had the highest 3 and 7 days of compressive strength where as Sarbottam had highest 28 days strength. Maruti cement had longest setting time whereas United cement had shortest setting time. 28 days strength of all the cement were as per the NS 49whereas except for Maruti and Shivam, all the brands had strength as per IS 8112 criteria.


2018 ◽  
Vol 42 (1) ◽  
Author(s):  
Paulo Henrique Rodrigues dos Santos ◽  
Samuel Cunha Oliveira Giordani ◽  
Blenda Calazans Soares ◽  
Fernando Higino Lima e Silva ◽  
Elizabethe Adriana Esteves ◽  
...  

ABSTRACT The study of the genetic and phenotypic variability of the populations of Caryocar brasiliense Camb. assists in strategies for conservation and breeding of the specie. The objective of this work was to characterize the genetic diversity through the physical characteristics of pequi fruits of two populations through uni and multivariate analysis, as well as the implications in their domestication and breeding. Fruits were harvested from 20 mother trees (ten fruits per mother tree) from two populations in the state of Minas Gerais (Curvelo and São Gonçalo do Rio Preto Municipalities) during the years 2010, 2011 and 2012. The data were submitted to analysis of variance using a hierarchical classification model. An analysis of clusters and main components was used for studying the divergences. The effects of the populations were not significant for all the characters analyzed in isolation. The gathering of pequi mother trees shown by multivariate analysis did not correspond to the grouping established by the populations. Selection for breeding and/or preservation purposes should concentrate efforts on fewer populations with larger numbers of mother trees per population. Selection of mother trees with higher fruits and thicker pulp fruits among them, even by visual evaluations only, is recommend in sampling mother trees for breeding purposes.


HortScience ◽  
2021 ◽  
pp. 1-2
Author(s):  
Job Teixeira de Oliveira ◽  
Rubens Alves de Oliveira ◽  
Priscilla Andrade Silva ◽  
Paulo Eduardo Teodoro

To contribute to commercial classification, this work sought to evaluate correlations between fruit mass and other physical characteristics of blackberry fruit, indicating direct and indirect effects of morphology and physical characteristics on blackberry fruit mass. The variables evaluated were the total mass of the blackberry fruit along with its physical components: fruit length, greater transverse diameter, smaller transverse diameter, fruit area, fruit perimeter, and fruit volume. Results of our analyses show that an increase in fruit length, fruit perimeter, and fruit volume reflects an increase in the total mass of the blackberry fruit. Indirectly, greater values of fruit length, greater transverse diameter, and smaller transverse diameter reflect an increase in the perimeter and volume of the blackberry fruit, thus contributing to larger, more attractive fruit.


1983 ◽  
Vol 20 (01) ◽  
pp. 53-63
Author(s):  
Stanley C. Stockdale

The computer industry term "microcomputer" typically refers to a small machine capable of serving one user at a time and costing only a few thousand dollars. The advanced technology of these machines coupled with skillful programming can give crew members tremendous flexibility and accuracy in fulfilling operational requirements. This paper reviews the physical characteristics of today's microcomputers and gives specific details on three representational systems presently in use on board. A philosophy for designing effective and well-received interactive programs is developed. Finally, an ideal development procedure, from inception to installation of a successful shipboard system, is outlined. A simple glossary of computer terms is also included.


1999 ◽  
Vol 10 (6) ◽  
pp. 522-525 ◽  
Author(s):  
Paul Maruff ◽  
James Danckert ◽  
Georgina Camplin ◽  
Jon Currie

Although there is agreement that attentional processes are limited, the necessary conditions for such limitation have not been determined. We investigated whether behavioral goals are sufficient to constrain the selection of visual information. In two tasks, subjects were presented with targets and distractors that varied on two dimensions (e.g., color and letter). In separate conditions, the subjects' goal was to identify only one dimension of the target while ignoring the second dimension and ignoring the distractors. In both tasks, peripheral distractors interfered with target selection only when the targets and distractors differed on the goal-relevant dimension. When the goal was changed, the pattern of interference from the same stimuli was reversed, so that distractors affected target selection only according to the new goal. These results suggest that behavioral goals constrain the selection of visual information to a greater extent than the physical characteristics of the visual information.


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