A model of octopus epidermis pattern mimicry mechanisms using inverse operation of the Turing reaction model

Many cephalopods such as octopi and squid can purposefully and rapidly change their skin color. Furthermore, it is widely known that some octopi have the ability to rapidly change the color and unevenness of their skin to mimic their surroundings. However, there has been little research published on the mechanisms by which an octopus recognizes its surrounding landscape and changes its skin pattern. We are unaware of any hypothetical model that explains this mimicry mechanism to date. In this study, the mechanism of octopus skin pattern change was assumed to be based on the Turing pattern model. Here, pattern formation using the Turing model was realized using an equivalent filter calculation model and a cellular automaton instead of directly solving the differential equations. It was shown that this model can create various patterns using two feature parameters. Furthermore, for visual recognition where two features are extracted from the Turing pattern image, a method that requires minimal calculation using the characteristics of the cellular Turing pattern model is proposed. These two calculations can be expressed in the same mathematical frame based on the cellular automaton model using a convolution filter. As a result, a model that is capable of extracting features from patterns and reconstructing those patterns rapidly can be created. This represents a basic model of the mimicry mechanism of octopi. Further, this study demonstrates the potential for creating a model with minimal learning calculation for application to machine learning.

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Preference for Darker Faces in Photographs at Different Phases of the Menstrual Cycle: Preliminary Assessment of Evidence for a Hormonal Relationship

Perceptual and Motor Skills ◽

10.2466/pms.1994.79.1.507 ◽

1994 ◽

Vol 79 (1) ◽

pp. 507-514 ◽

Cited By ~ 76

Author(s):

Peter Frost

Keyword(s):

Menstrual Cycle ◽

Oral Contraceptives ◽

Skin Color ◽

Visual Recognition ◽

Current Phase ◽

Cyclic Response ◽

Visual Identification ◽

The Face ◽

Assessment Of Evidence ◽

Human Faces

Six pairs of photographs showing human faces of both sexes were presented to 98 women who had to choose the more pleasing one of each pair. Faces within each pair were identical except for a slight difference in complexion. For women not taking oral contraceptives, skin-color preference differed significantly between two groups of subjects classified according to the current phase of their self-reported menstrual cycle: darker male faces were judged more positively by subjects in the phase when the estrogen/progesterone ratio was expected to be high than by those in the phase when this ratio was expected to be low. Female faces evoked no such cyclic response. Users of oral contraceptives showed no cyclic response to either male or female faces. These results suggest a mental mechanism whose inputs are (a) hormonal state, (b) visual identification of the sex of the face being observed, and (c) visual recognition of complexion, and whose output enters into evaluation of male and female faces. Replication with direct measures of hormonal state is recommended.

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Research of Image Recognition of Plant Diseases and Pests Based on Deep Learning

International Journal of Cognitive Informatics and Natural Intelligence ◽

10.4018/ijcini.295810 ◽

2021 ◽

Vol 15 (4) ◽

pp. 0-0

Keyword(s):

Deep Learning ◽

Image Recognition ◽

Visual Recognition ◽

Recognition Accuracy ◽

Insect Pests ◽

Recognition Rate ◽

Plant Diseases ◽

Pest Species ◽

Learning Method ◽

Basic Model

Deep learning has attracted more and more attention in speech recognition, visual recognition and other fields. In the field of image processing, using deep learning method can obtain high recognition rate. In this paper, the convolution neural network is used as the basic model of deep learning. The shortcomings of the model are analyzed, and the DBN is used for the image recognition of diseases and insect pests. In the experiment, firstly, we select 10 kinds of disease and pest leaves and 50000 normal leaves, each of which is used for the comparison of algorithm performance.In the judgment of disease and pest species, the algorithm proposed in this study can identify all kinds of diseases and insect pests to the maximum extent, but the corresponding software (openCV, Access) recognition accuracy will gradually reduce along with the increase of the types of diseases and insect pests. In this study, the algorithm proposed in the identification of diseases and insect pests has been kept at about 45%.

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Effect of Buttress Form on Transverse Seismic Resistance of High Masonry Walls

10.21203/rs.3.rs-233787/v1 ◽

2021 ◽

Author(s):

M. Arif Gürel ◽

Rabia İzol ◽

Çağrı Mollamahmutoğlu ◽

R. Kadir Pekgökgöz ◽

F. Şebnem Kuloğlu Yüksel ◽

...

Keyword(s):

Calculation Model ◽

Nonlinear Static Analysis ◽

Seismic Resistance ◽

Masonry Walls ◽

Analysis Method ◽

Base Shear ◽

Basic Model ◽

Historical Masonry ◽

Nonlinear Static ◽

Modelling Approach

Abstract In historical masonry structures having vault, dome and high walls, for safety against gravity, wind and earthquake loads, buttresses are crucial elements. This study aims to investigate the effect of buttress form on the transverse seismic resistance of high masonry walls. For this purpose, a real historical masonry structure covered by a barrel vault, and has a simple and regular plan and elevation shape was considered. From a slice of this structure, a calculation model and a basic model were created. For the masonry, macro-modelling approach was used. Nonlinear static analysis method was adopted, and finite element modeling and calculations were carried out using the Abaqus program. Firstly, on the calculation model the effect of buttress depth on transverse seismic resistance was investigated, and it was seen that the resistance is almost linearly related to the buttress depth. Then, two groups of analyses were performed on the models obtained by mounting different buttress forms to the basic model. In the first group, the volumes of the buttresses were kept equal, and in the second group their base depths and thicknesses were taken equally. At the end of these analyses, by comparing the base shear forces obtained for the models, the effectiveness of buttress form on the transverse seismic resistance has been determined and evaluated. The results revealed that the model with curvilinear concave buttresses in the first group analyses and the model with semi-cylindrical buttresses in the second group analyses have the highest seismic resistance.

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Turing Pattern Formation Under Heterogeneous Distributions of Parameters for an Activator-Depleted Reaction Model

Journal of Nonlinear Science ◽

10.1007/s00332-021-09685-6 ◽

2021 ◽

Vol 31 (2) ◽

Author(s):

David Hernandez-Aristizabal ◽

Diego A. Garzón-Alvarado ◽

Anotida Madzvamuse

Keyword(s):

Pattern Formation ◽

Reaction Model ◽

Turing Pattern

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METHODICAL BASES ON RESEARCH OF OPTIMUM TIME OF WORK OF RESCUERS IN MOUNTAIN CONDITIONS AT VARIOUS LOADINGS AND TEMPERATURES OF INFLUENCE

Labour protection problems in Ukraine ◽

10.36804/nndipbop.37-3.2021.14-20 ◽

2021 ◽

Vol 37 (3) ◽

pp. 14-20

Author(s):

O. Tokarsky ◽

B. Bolibrukh

Keyword(s):

Operating Time ◽

Experimental Studies ◽

Calculation Model ◽

Search And Rescue ◽

Mountainous Area ◽

Mountain Area ◽

Ansys Fluent ◽

Basic Model ◽

Temperature Regimes ◽

Load Intensity

The purpose of the article is to substantiate the main criteria for developing a method for determining the optimal operating time of mountain rescuers at different loads and temperatures. The analysis of working conditions of mountain rescuers in the spring period is carried out. Experimental studies of the metabolism of rescuers without protective clothing have been carried out. Experimental researches and modeling of influence of intensity of performance of works at ambient temperature in the range +16 - -24ºС are carried out. The dynamics of the process of metabolism of a mountain rescuer during search and rescue operations in a mountainous area has been studied. The temperature regimes of the rescuer's body core under conditions of different load intensity are determined. The energy range of tasks in mountainous terrain for three types of loads is determined. Practical consequences: The built algorithm of research of process of metabolism in mountain area gives the chance to classify conditions of carrying out search and rescue works on degree of difficulty of kinds of works. The obtained indicators of loads, metabolism, intensity of search and rescue operations make it possible to form a basic model for studying the process of rationing the deadlines for tasks. The use of the ANSYS FLUENT software package, refined criteria for assessing the metabolic process allowed to improve the methodology of the model for determining the energy costs of a mountain rescuer in a mountainous area.і Conclusions. The necessity of creating a calculation model for the introduction of sanitary and hygienic requirements for the regulation of safe modes of operation of mountain rescuers is substantiated. The basic factors of the model for further research are determined.

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Do You Want to See the Tree? Ignore the Forest

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000240 ◽

2014 ◽

Vol 61 (3) ◽

pp. 205-214 ◽

Cited By ~ 12

Author(s):

Nicolas Poirel ◽

Claire Sara Krakowski ◽

Sabrina Sayah ◽

Arlette Pineau ◽

Olivier Houdé ◽

...

Keyword(s):

Visual Recognition ◽

Local Level ◽

Local Information ◽

Visual Environment ◽

Global Information ◽

Focus Attention ◽

Global Level ◽

Hierarchical Stimuli ◽

Priming Paradigm ◽

The One

The visual environment consists of global structures (e.g., a forest) made up of local parts (e.g., trees). When compound stimuli are presented (e.g., large global letters composed of arrangements of small local letters), the global unattended information slows responses to local targets. Using a negative priming paradigm, we investigated whether inhibition is required to process hierarchical stimuli when information at the local level is in conflict with the one at the global level. The results show that when local and global information is in conflict, global information must be inhibited to process local information, but that the reverse is not true. This finding has potential direct implications for brain models of visual recognition, by suggesting that when local information is conflicting with global information, inhibitory control reduces feedback activity from global information (e.g., inhibits the forest) which allows the visual system to process local information (e.g., to focus attention on a particular tree).

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