scholarly journals The affective notes of represented space as motors of emotional and sensorial response

2019 ◽  
Vol 64 ◽  
pp. 01013 ◽  
Author(s):  
Elisa Morselli
Keyword(s):  
Design Research ◽  
Digital Images ◽  
Space Perception ◽  
Specific Kind ◽  
Emotional Aspects ◽  
Contemporary Architecture ◽  
Psychology Of Art

The following essay proposes to investigate the perceptual and emotional aspects related to the visualization of architectural images. The field of research is limited to a well-defined category: figurative representations as the photographic and digital images of contemporary architecture. In particular, two types will be analysed: the un-built architecture produced by Studio MIR and Bloomimages compared with the photographed built architecture. Using figurative images as a tool of reading, the aim of this work is to identify and classify three types of affective spaces capable of generating a specific kind of perception, producing a sensorial classification of atmosphere for architecture. The study of the Psychology of Art, as well as Aesthetics and Neuroaesthetics can be a valuable tool in understanding the phenomena of the present, considering the marked pictoriality of these images. The application of the analytic methodology, developed in these disciplines, can suggest a new way of "looking" at the project, paying attention to the representation of the atmospheres, which characterizes the experience of felt space. Keywords: Affective Space, Perception, Representation, Aesthetics, Atmospheres, Design Research, Generators.

Detection of Yellow Hawkweed (Hieracium pratense) with High Resolution Multispectral Digital Imagery

1995 ◽  
Vol 9 (3) ◽  
pp. 477-483 ◽  
Author(s):  
Hubert W. Carson ◽  
Lawrence W. Lass ◽  
Robert H. Callihan
Keyword(s):  
Supervised Classification ◽  
Digital Images ◽  
Ground Cover ◽  
Unsupervised Classification ◽  
Digital Imagery ◽  
Charge Coupled Device ◽  
Spectral Filters ◽  
A Charge ◽  
Northern Idaho

Yellow hawkweed infests permanent upland pastures and forest meadows in northern Idaho. Conventional surveys to determine infestations of this weed are not practical. A charge coupled device with spectral filters mounted in an airplane was used to obtain digital images (1 m resolution) of flowering yellow hawkweed. Supervised classification of the digital images predicted more area infested by yellow hawkweed than did unsupervised classification. Where yellow hawkweed was the dominant ground cover species, infestations were detectable with high accuracy from digital images. Moderate yellow hawkweed infestation detection was unreliable, and areas having less than 20% yellow hawkweed cover were not detected.

scholarly journals Reshaping exhibition and museum design through digital technologies: a multimodal approach

2009 ◽  
Vol 8 (3) ◽  
pp. 25-31 ◽  
Author(s):  
Marco Borsotti ◽  
Letizia Bollini
Keyword(s):  
Interior Design ◽  
Design Research ◽  
Exhibition Design ◽  
Multimodal Approach ◽  
Exhibition Space ◽  
Interior Spaces ◽  
Planning Approach ◽  
Museum Design ◽  
Contemporary Architecture ◽  
Social Landscapes

Exhibition design as preferential research framework in redefining interior spaces value-ratio in contemporary architecture debate: the merging end integration approach introduced by communication and performative exhibition practices is redesigning culturally and physically the pre-existing spaces. Exhibition design research innovative carrying out planning approach for changing strategies simultaneity knowledge spreading. In this way it became the most interesting and topical interior design project act, able to translate performing spaces into crossing experience built also with meanings dissemination and "surfing" knowledge method. The exhibition design direction is a different tool to control and develop multimodal approach to interior territories whose outcome fit to new social landscapes The Installation of an exhibition space meaning is now coming into sight as work-in-progress multi-disciplinary range, increasingly complex. The experiential element (whom exponential use of digital solution is just an exterior consequence) will increasing more and more and will bring to ostensive solutions development looking to new classifying parameters capable in enclosing several simultaneous organizing relationships. These parameters represents many super-structural rationalization process aptitudes that draw close true courses and imaginary tours, into complex changeable landscapes where raise to the surface place, objects and viewers sense and myths, made by production act, supervising to thoughts and actions as independent and symbiotic designer and visitor condition.

scholarly journals Effectiveness Of Rosella Tea On Decreasing Blood Pressure In Hypertension Patients In Tulungagung District

2020 ◽  
Vol 9 (1) ◽  
pp. 162-169
Author(s):  
Farida Farida ◽  
Yusuf Abdillah ◽  
Poppy Farasari
Keyword(s):  
Blood Pressure ◽  
Research Design ◽  
Design Research ◽  
Sampling Technique ◽  
Test Statistics ◽  
Average Blood Pressure ◽  
Quota Sampling ◽  
Stage 1 ◽  
Normally Distributed

The research design used pre experimental. The sampling technique uses quota sampling with a sample of 30 respondents. Design research was one group pretest-posttest. The study used a dose of 2 x 3 grams of dried rosella each day for seven (7) days. Test Statistics using Paired T test.The results of the study were obtained before the treatment as many as 26 respondents (86.7%) with the classification of stage 1 hypertension and after treatment to 18 respondents (60%), this was due to filling vacancies in the incidence of prehypertension and normal tension.normality test Kolmogorov-smirnof data is normally distributed. The results of thestatistical Paired T-testtest showed that the value of p systole = 0,000 and dyastole = 0.001 with α = 0.05 where p <α so that Ho was rejected, which means there was a decrease in the average blood pressure after giving rosella tea

scholarly journals METHODS OF CREATING A LANDSCAPE ENVIRONMENT CONSIDERING THE CULTURAL AND EDUCATION ORIENTATION

2021 ◽  
pp. 217-237
Author(s):  
Andriy Karanda
Keyword(s):  
Urban Planning ◽  
Research Design ◽  
Design Research ◽  
Landscape Planning ◽  
Scientific Research ◽  
Inner World ◽  
Design Objects ◽  
Landscape Ecological

The problem of creating a landscape environment considering the cultural and educational orientation in the structure of objects of the landscape and recreational zone of cities is observed. Specialized cultural and cognitive parks of ideological and thematic orientation are grouped by areas: urban planning, landscape-ecological, spatial-compositional, semiotic, typological-methodological and their main characteristics are given. The classification of specialized cultural and cognitive parks and those that ideologically affect the surrounding and inner world of man is given. The main methods used in the formation of specialized cultural and educational parks in the process of landscape-planning organization of the park environment by its phases (pre-design research, design, implementation, maintenance) are determine In each of the phases the main stages of its implementation and methods of scientific research used in it are given. When considering the issue of creating specialized cultural and cognitive parks, the general criteria to be met by the design objects that combine them were identified, a number of methods that form the algorithm for their creation were considered.

Adaptive Median Filtering Based on Unsupervised Classification of Pixels

2013 ◽  
pp. 273-296 ◽  
Author(s):  
J. K. Mandal ◽  
Somnath Mukhopadhyay
Keyword(s):  
Clustering Algorithm ◽  
Digital Images ◽  
Unsupervised Classification ◽  
Median Filtering ◽  
Adaptive Window ◽  
Novel Approach ◽  
Weighted Median ◽  
Window Selection ◽  
Filtering Approach

This chapter deals with a novel approach which aims at detection and filtering of impulses in digital images through unsupervised classification of pixels. This approach coagulates directional weighted median filtering with unsupervised pixel classification based adaptive window selection toward detection and filtering of impulses in digital images. K-means based clustering algorithm has been utilized to detect the noisy pixels based adaptive window selection to restore the impulses. Adaptive median filtering approach has been proposed to obtain best possible restoration results. Results demonstrating the effectiveness of the proposed technique are provided for numeric intensity values described in terms of feature vectors. Various benchmark digital images are used to show the restoration results in terms of PSNR (dB) and visual effects which conform better restoration of images through proposed technique.

scholarly journals Neural Classification of Compost Maturity by Means of the Self-Organising Feature Map Artificial Neural Network and Learning Vector Quantization Algorithm

2019 ◽  
Vol 16 (18) ◽  
pp. 3294 ◽  
Author(s):  
Piotr Boniecki ◽  
Małgorzata Idzior-Haufa ◽  
Agnieszka Pilarska ◽  
Krzysztof Pilarski ◽  
Alicja Kolasa-Wiecek
Keyword(s):  
Vector Quantization ◽  
Digital Images ◽  
Neural Model ◽  
Learning Vector Quantization ◽  
Neural Models ◽  
Topological Map ◽  
Compost Maturity ◽  
Feature Map ◽  
Graphic Information

Self-Organising Feature Map (SOFM) neural models and the Learning Vector Quantization (LVQ) algorithm were used to produce a classifier identifying the quality classes of compost, according to the degree of its maturation within a period of time recorded in digital images. Digital images of compost at different stages of maturation were taken in a laboratory. They were used to generate an SOFM neural topological map with centres of concentration of the classified cases. The radial neurons on the map were adequately labelled to represent five suggested quality classes describing the degree of maturation of the composted organic matter. This enabled the creation of a neural separator classifying the degree of compost maturation based on easily accessible graphic information encoded in the digital images. The research resulted in the development of original software for quick and easy assessment of compost maturity. The generated SOFM neural model was the kernel of the constructed IT system.

scholarly journals Denoising of digital images through PSO based pixel classification

2013 ◽  
Vol 3 (4) ◽  
Author(s):  
Somnath Mukhopadhyay ◽  
Jyotsna Mandal
Keyword(s):  
Digital Images ◽  
Fitness Function ◽  
Unsupervised Classification ◽  
Noisy Image ◽  
Pixel Classification ◽  
Visual Effects ◽  
Swarm Optimization ◽  
Image Pixels ◽  
Noise Models

AbstractThis paper proposes a de-noising method where the detection and filtering is based on unsupervised classification of pixels. The noisy image is grouped into subsets of pixels with respect to their intensity values and spatial distances. Using a novel fitness function the image pixels are classified using the Particle Swarm Optimization (PSO) technique. The distance function measured similarity/dissimilarity among pixels using not only the intensity values, but also the positions of the pixels. The detection technique enforced PSO based clustering, which is very simple and robust. The filtering operator restored only the noisy pixels keeping noise free pixels intact. Four types of noise models are used to train the digital images and these noisy images are restored using the proposed algorithm. Results demonstrated the effectiveness of the proposed technique. Various benchmark images are used to produce restoration results in terms of PSNR (dB) along with other parametric values. Some visual effects are also presented which conform better restoration of digital images through the proposed technique.

Color Features Extraction and Classification of Digital Images of Erythrocytes Infected by Plasmodium berghei

2019 ◽  
pp. 715-722
Author(s):  
Juan V. Lorenzo-Ginori ◽  
Lyanett Chinea-Valdés ◽  
Yanela IzquierdoTorres ◽  
Rubén Orozco-Morales ◽  
Niurka Mollineda-Diogo ◽  
...  
Keyword(s):  
Plasmodium Berghei ◽  
Digital Images ◽  
Features Extraction ◽  
Color Features

scholarly journals Variable Selection Towards Classification of Digital Images: Identification of Altered Glucose Levels in Serum

2019 ◽  
Vol 52 (14) ◽  
pp. 2239-2250 ◽  
Author(s):  
Camilo L. M. Morais ◽  
Kássio M. G. Lima ◽  
Francis L. Martin
Keyword(s):  
Variable Selection ◽  
Digital Images ◽  
Glucose Levels ◽  
Altered Glucose
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