The impact of graphic motor programs and detailed visual analysis on letter-like shape recognition

Cognition ◽  
2020 ◽  
Vol 205 ◽  
pp. 104443
Author(s):  
Lola Seyll ◽  
Florent Wyckmans ◽  
Alain Content
Keyword(s):  
Visual Analysis ◽  
Shape Recognition ◽  
Motor Programs ◽  
The Impact

The impact of a mega-event on city branding: The European Capital of Culture 2010 and the image of Istanbul

2013 ◽  
Vol 3 (1) ◽  
pp. 29-50 ◽  
Author(s):  
Evinç Doğan ◽  
Ibrahim Sirkeci
Keyword(s):  
Visual Analysis ◽  
Place Branding ◽  
World City ◽  
City Branding ◽  
City Image ◽  
European Capital Of Culture ◽  
National Boundaries ◽  
Symbolic Production ◽  
The Impact ◽  
The City

This study examines the ways in which the city image of Istanbul is re-created through the mega-events within the context of the European Capital of Culture (ECoC) 2010. Istanbul “took the stage” as one of the three ECoC cities (Essen for the Ruhr in Germany and Pécs in Hungary), where the urban spaces were projected as the theatre décor while residents and visitors became the spectators of the events. Organisers and agents of the ECoC 2010 seemed to rebrand Istanbul as a “world city” rather than a “European capital”. With a series of transnational connotations, this can be considered as part of an attempt to turn Istanbul to a global city. In this study we examine posters used during the ECoC 2010 to see whether this was evident in the promoted images of Istanbul. The research employs a hermeneutic approach in which representations, signs and language are the means of symbolic meaning, which is analysed through qualitative methods for the visual data (Visual Analysis Methods), namely Semiotics and Discourse Analysis. The analysed research material comes from a sample of posters released during the ECoC 2010 to promote 549 events throughout the year. Using stratified random sampling we have drawn 28 posters (5% of the total) reflecting the thematic groups of events in the ECoC 2010. Particular attention is also paid to the reflexivity of the researchers and researchers’ embeddedness to the object of research. The symbolic production and visual representation are therefore investigated firstly through the authoritative and historically constituted discourses in the making of Istanbul image and secondly through the orders of cultural consumption and mediatisation of culture through spectacular events. Hence enforcing a transnationalisation of the image of the city where the image appears to be almost stateless transcending the national boundaries. Findings and methodology used in this study can be useful in understanding similar cases and further research into the processes of city and place branding and image relationships. 

scholarly journals Airbnb Short-term Housing Rental Status Prediction Model Under the Impact of the COVID-19 Pandemic

2021 ◽  
Vol 251 ◽  
pp. 01017
Author(s):  
Zhixiang Lu
Keyword(s):  
Machine Learning ◽  
New York ◽  
Regional Differences ◽  
Prediction Accuracy ◽  
Visual Analysis ◽  
Sharing Economy ◽  
Short Term ◽  
Emerging Industries ◽  
Machine Learning Model ◽  
The Impact

With the vigorous development of the sharing economy, the short-term rental industry has also spawned many emerging industries that belong to the sharing economy. However, due to the impact of the COVID-19 pandemic in 2020, many sharing economy industries, including the short-term housing leasing industry, have been affected. This study takes the rental information of 1,004 short-term rental houses in New York in April 2020 as an example, through machine learning and quantitative analysis, we conducted statistical and visual analysis on the impact of different factors on the housing rental status. This project is based on the machine learning model to predict the changes in the rental status of the house on the time series. The results show that the prediction accuracy of the random forest model has reached more than 94%, and the prediction accuracy of the logistic model has reached more than 74%. At the same time, we have further explored the impact of time span differences and regional differences on the housing rental status.

scholarly journals Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition

Entropy ◽  
2021 ◽  
Vol 23 (11) ◽  
pp. 1502
Author(s):  
Ben Wilkes ◽  
Igor Vatolkin ◽  
Heinrich Müller
Keyword(s):  
Visual Analysis ◽  
Binary Classification ◽  
Statistical Significance ◽  
Image Features ◽  
Support Vector ◽  
Audio Signals ◽  
Text And Image ◽  
The Impact ◽  
Music Track

We present a multi-modal genre recognition framework that considers the modalities audio, text, and image by features extracted from audio signals, album cover images, and lyrics of music tracks. In contrast to pure learning of features by a neural network as done in the related work, handcrafted features designed for a respective modality are also integrated, allowing for higher interpretability of created models and further theoretical analysis of the impact of individual features on genre prediction. Genre recognition is performed by binary classification of a music track with respect to each genre based on combinations of elementary features. For feature combination a two-level technique is used, which combines aggregation into fixed-length feature vectors with confidence-based fusion of classification results. Extensive experiments have been conducted for three classifier models (Naïve Bayes, Support Vector Machine, and Random Forest) and numerous feature combinations. The results are presented visually, with data reduction for improved perceptibility achieved by multi-objective analysis and restriction to non-dominated data. Feature- and classifier-related hypotheses are formulated based on the data, and their statistical significance is formally analyzed. The statistical analysis shows that the combination of two modalities almost always leads to a significant increase of performance and the combination of three modalities in several cases.

scholarly journals The Distribution and Possible Roles of Small Cardioactive Peptide in the Nudibranch Melibe leonina

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
W H Watson ◽  
A Nash ◽  
C Lee ◽  
M D Patz ◽  
J M Newcomb
Keyword(s):  
Central Nervous System ◽  
Motor Program ◽  
Gastropod Species ◽  
Motor Programs ◽  
Large Neuron ◽  
Buccal Ganglia ◽  
The Central Nervous System ◽  
Program Application ◽  
Peristaltic Contractions ◽  
The Impact

Synopsis The neuropeptide small cardioactive peptide (SCP) plays an integrative role in exciting various motor programs involved in feeding and locomotion in a number of gastropod species. In this study, immunohistochemistry, using monoclonal antibodies against SCPB, was used to localize SCPB-like-immunoreactive neurons in the central nervous system, and map their connections to various tissues, in the nudibranch, Melibe leonina. Approximately 28–36 SCPB-like-immunoreactive neurons were identified in the M. leonina brain, as well as one large neuron in each of the buccal ganglia. The neuropil of the pedal ganglia contained the most SCPB-like-immunoreactive varicosities, although only a small portion of these were due to SCPB-like-immunoreactive neurons in the same ganglion. This suggests that much of the SCPB-like immunoreactivity in the neuropil of the pedal ganglia was from neurons in other ganglia that projected through the pedal–pedal connectives or the connectives from the cerebral and pleural ganglia. We also observed extensive SCPB innervation along the length of the esophagus. Therefore, we investigated the impact of SCPB on locomotion in intact animals, as well as peristaltic contractions of the isolated esophagus. Injection of intact animals with SCPB at night led to a significant increase in crawling and swimming, compared to control animals injected with saline. Furthermore, perfusion of isolated brains with SCPB initiated expression of the swim motor program. Application of SCPB to the isolated quiescent esophagus initiated rhythmic peristaltic contractions, and this occurred in preparations both with and without the buccal ganglia being attached. All these data, taken together, suggest that SCPB could be released at night to arouse animals and enhance the expression of both feeding and swimming motor programs in M. leonina.

Afferent-Induced Changes in Rhythmic Motor Programs in the Feeding Circuitry of Aplysia

2004 ◽  
Vol 92 (4) ◽  
pp. 2312-2322 ◽  
Author(s):  
Avniel N. Shetreat-Klein ◽  
Elizabeth C. Cropper
Keyword(s):  
Sensory Neurons ◽  
Motor Neurons ◽  
Rhythmic Activity ◽  
Motor Program ◽  
Firing Frequency ◽  
Afferent Activity ◽  
Motor Programs ◽  
Rhythmic Motor ◽  
Induced Changes ◽  
The Impact

A manipulation often used to determine whether a neuron plays a role in the generation of a motor program involves injecting current into the cell during rhythmic activity to determine whether activity is modified. We perform this type of manipulation to study the impact of afferent activity on feeding-like motor programs in Aplysia. We trigger biting-like programs and manipulate sensory neurons that have been implicated in producing the changes in activity that occur when food is ingested, i.e., when bites are converted to bite-swallows. Sensory neurons that are manipulated are the radula mechanoafferent B21 and the retraction proprioceptor B51. Data suggest that both cells are peripherally activated during radula closing/retraction when food is ingested. We found that phasic subthreshold depolarization of a single sensory neuron can significantly prolong radula closing/retraction, as determined by recording both from interneurons (e.g., B64), and motor neurons (e.g., B15 and B8). Additionally, afferent activity produces a delay in the onset of the subsequent radula opening/protraction, and increases the firing frequency of motor neurons. These are the changes in activity that are seen when food is ingested. These results add to the growing data that implicate B21 and B51 in bite to bite-swallow conversions and indicate that afferent activity is important during feeding in Aplysia.

scholarly journals Visual Analysis of the Height Ratio between Building and Background Vegetation. Two Rural Cases of Study: Spain and Sweden

2018 ◽  
Vol 10 (8) ◽  
pp. 2593 ◽  
Author(s):  
Jacinto Garrido-Velarde ◽  
María Montero-Parejo ◽  
Julio Hernández-Blanco ◽  
Lorenzo García-Moruno
Keyword(s):  
Visual Analysis ◽  
Country Of Origin ◽  
Climatic Conditions ◽  
Rural Environment ◽  
Relative Height ◽  
Height Ratio ◽  
The Public ◽  
Rural Buildings ◽  
Horizon Line ◽  
The Impact

The perception of apparent sizes of buildings in a rural environment depends on the height ratio between the building and its surrounding vegetation, and it is this parameter which is currently used to assess the built landscapes. The impact of a contrasting height is less strong if the building does not exceed the horizon line. For buildings overshooting the skyline, the building’s level of sharpness and number of lines in contrast to the sky determines the impact of the scales, and vegetation in the background helps to reduce impact. The specific objectives of the present study were: (1) finding height–ratio thresholds between building and background vegetation, which may improve the integration of rural buildings in sky-sensitive locations, and; (2) comparing the results in two rural contexts with very different climatic conditions: Spain and Sweden. A survey of eighteen scenarios (nine Spanish and nine Swedish), all digitally modified with different relative height ratios between vegetation and buildings, was performed. The survey was evaluated by the public from both countries. Regardless of the country of origin, integration of the building was good or very good when the vegetation in background did not exceed one half of the height of the construction. These results may be translated to technical criteria for planning assessment.

scholarly journals Three-dimensional visualization of ensemble weather forecasts – Part 1: The visualization tool Met.3D (version 1.0)

2015 ◽  
Vol 8 (7) ◽  
pp. 2329-2353 ◽  
Author(s):  
M. Rautenhaus ◽  
M. Kern ◽  
A. Schäfler ◽  
R. Westermann
Keyword(s):  
Visual Analysis ◽  
Weather Forecasting ◽  
Spatial Perception ◽  
Three Dimensional ◽  
Atmospheric Model ◽  
Weather Forecasts ◽  
Research And Teaching ◽  
Grid Topology ◽  
Ensemble Visualization ◽  
The Impact

Abstract. We present "Met.3D", a new open-source tool for the interactive three-dimensional (3-D) visualization of numerical ensemble weather predictions. The tool has been developed to support weather forecasting during aircraft-based atmospheric field campaigns; however, it is applicable to further forecasting, research and teaching activities. Our work approaches challenging topics related to the visual analysis of numerical atmospheric model output – 3-D visualization, ensemble visualization and how both can be used in a meaningful way suited to weather forecasting. Met.3D builds a bridge from proven 2-D visualization methods commonly used in meteorology to 3-D visualization by combining both visualization types in a 3-D context. We address the issue of spatial perception in the 3-D view and present approaches to using the ensemble to allow the user to assess forecast uncertainty. Interactivity is key to our approach. Met.3D uses modern graphics technology to achieve interactive visualization on standard consumer hardware. The tool supports forecast data from the European Centre for Medium Range Weather Forecasts (ECMWF) and can operate directly on ECMWF hybrid sigma-pressure level grids. We describe the employed visualization algorithms, and analyse the impact of the ECMWF grid topology on computing 3-D ensemble statistical quantities. Our techniques are demonstrated with examples from the T-NAWDEX-Falcon 2012 (THORPEX – North Atlantic Waveguide and Downstream Impact Experiment) campaign.

TOPICVIEW: VISUAL ANALYSIS OF TOPIC MODELS AND THEIR IMPACT ON DOCUMENT CLUSTERING

2013 ◽  
Vol 22 (05) ◽  
pp. 1360008 ◽  
Author(s):  
PATRICIA J. CROSSNO ◽  
ANDREW T. WILSON ◽  
TIMOTHY M. SHEAD ◽  
WARREN L. DAVIS ◽  
DANIEL M. DUNLAVY
Keyword(s):  
Visual Analytics ◽  
Semantic Analysis ◽  
Visual Analysis ◽  
Document Clustering ◽  
Topic Models ◽  
Analysis Tool ◽  
Model Assessment ◽  
Text Corpora ◽  
The Impact ◽  
Document Relationships

We present a new approach for analyzing topic models using visual analytics. We have developed TopicView, an application for visually comparing and exploring multiple models of text corpora, as a prototype for this type of analysis tool. TopicView uses multiple linked views to visually analyze conceptual and topical content, document relationships identified by models, and the impact of models on the results of document clustering. As case studies, we examine models created using two standard approaches: Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA). Conceptual content is compared through the combination of (i) a bipartite graph matching LSA concepts with LDA topics based on the cosine similarities of model factors and (ii) a table containing the terms for each LSA concept and LDA topic listed in decreasing order of importance. Document relationships are examined through the combination of (i) side-by-side document similarity graphs, (ii) a table listing the weights for each document's contribution to each concept/topic, and (iii) a full text reader for documents selected in either of the graphs or the table. The impact of LSA and LDA models on document clustering applications is explored through similar means, using proximities between documents and cluster exemplars for graph layout edge weighting and table entries. We demonstrate the utility of TopicView's visual approach to model assessment by comparing LSA and LDA models of several example corpora.

scholarly journals PERANCANGAN PRODUK FASHION BAGI MASYARAKAT URBAN INDONESIA DENGAN PEMANFAATAN TENUN LURIK JAWA PEDAN

2019 ◽  
Vol 3 (2) ◽  
pp. 112-133
Author(s):  
Wenny Anggraini Natalia ◽  
Dian Widiawati ◽  
Agus Sachari
Keyword(s):  
Social Environment ◽  
Visual Analysis ◽  
Sustainable Design ◽  
Design Methods ◽  
The Public ◽  
Fashion Products ◽  
The Impact ◽  
Modern Era

The existence of Javanese Pedan lurik weaving which is one of the Indonesian cultural heritages that needs to be preserved in this modern era. Using the method of observation, visual analysis and experimentation, it is designed to revitalize fashion products by utilizing Javanese lurik woven cloth intended for Indonesian urbanites with a character of young spirit, full of locality, and love of culture. Sustainable design methods become a solution by considering the impact on the natural and social environment at each stage, which will later be related to the economy of the community. Through this article, it is hoped that it will enrich the development of fashion products with Indonesian cultural nuances that will increase the selling power of Javanese lurik woven into the wider community. In addition, using revitalized Javanese Pedan motifs and patterns that have been revitalized, it is hoped that the public will become more aware that there are still regional motifs and patterns that are still unexplored and is expected to be more known and awake sustainability.

scholarly journals Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer

2021 ◽  
Vol 18 (24) ◽  
pp. 13065
Author(s):  
Peng Cheng ◽  
Houtian Tang ◽  
Yue Dong ◽  
Ke Liu ◽  
Ping Jiang ◽  
...  
Keyword(s):  
Land Use ◽  
Food Security ◽  
Land Use Change ◽  
Visual Analysis ◽  
Rapid Development ◽  
Academic Community ◽  
Research Progress ◽  
The Core ◽  
Geographical Regions ◽  
The Impact

Many scholars have conducted in-depth research on the theme of land use change and food security, and formed fruitful research results, but there is a lack of quantitative analysis and comprehensive evaluation of research achievements. Therefore, based on the relevant literature on the theme of land use change and food security in the core collection of the Web of Science (WOS) database, this paper takes the advantage of CiteSpace and VOSviewer bibliometric software to draw the cooperative network and keyword cooccurrence map to analyze the research progress and frontier. The results reveal that: (1) The research started in 1999 and can be divided into three stages: initial research, rapid development, and a stable in-depth stage. This topic has increasingly become a research hotspot in the academic community. (2) The distribution of research institutions is concentrated and forms a small cluster, and the research networks between developed and developing countries have been established, and developed countries are in the core position, but the cooperation network is not prominent. (3) The research content is becoming increasingly organized and systematic, and the research hot topics are divided into seven aspects. (4) The research area of the subject covers multiple levels, such as global, national, and specific natural geographical regions, and has formed a research system of geographic information technology and satellite remote sensing technology. It also presents the trend of cross integration with economics, land management and soil science. In the future, theoretical innovation still needs to be strengthened, and we should strengthen the research on the impact of agricultural chemical fertilizers on food security and study the impact of urban expansion on land use change.

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