scholarly journals ANALYSIS OF CLOUDINESS BY SEGMENTATION AND MONITORING OF SATELLITE MAP IMAGES

2019 ◽  
pp. 169-180
Author(s):  
Roman Melnyk ◽  
Yurii Kalychak ◽  
Roman Kvit
Keyword(s):  
Clustering Algorithm ◽  
Statistical Data ◽  
Three Dimensional ◽  
Image Space ◽  
Dynamic Threshold ◽  
Threshold Values ◽  
Segmentation Of Images ◽  
And Inversion ◽  
To Receive ◽  
Clipping Plane

The algorithm of the dynamic threshold segmentation of images using clipping plane in a three-dimensional XYZ image space is proposed. To build the clipping plane of the dynamic threshold the precession and nutation angles as the base threshold values are found. The developed algorithm is applied to the satellite map images to get cloudiness intensity. The satellite map images are transformed by segmentation and inversion. The segmented and inverted images are scanned to receive the distributed cumulative histograms. By the help of so-called cloudiness meter the statistical data is processed for calculation and monitoring of cloudiness in Ukraine. The formulas to create an image of the distributed cumulative histogram are considered. Formulas to reconstruct images of the rotated satellite map images are proposed. The satellite weather map images were taken from the Wunderground services. The clustering algorithm is used to classify the regions of Ukraine by cloudiness intensity, which were created distributed cumulative images. The clustering algorithm is based on the agglomerative procedure.

Three-Dimensional In Vivo Kinematics of the Subtalar Joint During Dorsi-Plantarflexion and Inversion-Eversion

2009 ◽  
Vol 30 (05) ◽  
pp. 432-438 ◽  
Author(s):  
Akira Goto ◽  
Hisao Moritomo ◽  
Tomonobu Itohara ◽  
Tetsu Watanabe ◽  
Kazuomi Sugamoto
Keyword(s):  
Subtalar Joint ◽  
Three Dimensional ◽  
In Vivo Kinematics ◽  
And Inversion

scholarly journals Simulation and Analysis of Floodlighting Based on 3D Computer Graphics

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1042
Author(s):  
Rafał Krupiński
Keyword(s):  
Computer Graphics ◽  
External Surface ◽  
Geometric Model ◽  
Three Dimensional ◽  
Fold Increase ◽  
Luminance Level ◽  
Object Model ◽  
Geometric Mesh ◽  
Average Luminance ◽  
To Receive

The paper presents the opportunities to apply computer graphics in an object floodlighting design process and in an analysis of object illumination. The course of object floodlighting design has been defined based on a virtual three-dimensional geometric model. The problems related to carrying out the analysis of lighting, calculating the average illuminance, luminance levels and determining the illuminated object surface area are also described. These parameters are directly tied with the calculations of the Floodlighting Utilisation Factor, and therefore, with the energy efficiency of the design as well as the aspects of light pollution of the natural environment. The paper shows how high an impact of the geometric model of the object has on the accuracy of photometric calculations. Very often the model contains the components that should not be taken into account in the photometric calculations. The research on what influence the purity of the geometric mesh of the illuminated object has on the obtained results is presented. It shows that the errors can be significant, but it is possible to optimise the 3D object model appropriately in order to receive the precise results. For the example object presented in this paper, removing the planes that do not constitute its external surface has caused a two-fold increase in the average illuminance and average luminance. This is dangerous because a designer who wants to achieve a specific average luminance level in their design without optimizing the model will obtain the luminance values that will actually be much higher.

Research on the university intelligent learning analysis system based on AI

2021 ◽  
pp. 1-10
Author(s):  
Meng Huang ◽  
Shuai Liu ◽  
Yahao Zhang ◽  
Kewei Cui ◽  
Yana Wen
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Academic Performance ◽  
Clustering Algorithm ◽  
Back Propagation ◽  
Three Dimensional ◽  
Training Model ◽  
Future Trend ◽  
Artificial Intelligence Technology ◽  
Visualization Technology

The integration of Artificial Intelligence technology and school education had become a future trend, and became an important driving force for the development of education. With the advent of the era of big data, although the relationship between students’ learning status data was closer to nonlinear relationship, combined with the application analysis of artificial intelligence technology, it could be found that students’ living habits were closely related to their academic performance. In this paper, through the investigation and analysis of the living habits and learning conditions of more than 2000 students in the past 10 grades in Information College of Institute of Disaster Prevention, we used the hierarchical clustering algorithm to classify the nearly 180000 records collected, and used the big data visualization technology of Echarts + iView + GIS and the JavaScript development method to dynamically display the students’ life track and learning information based on the map, then apply Three Dimensional ArcGIS for JS API technology showed the network infrastructure of the campus. Finally, a training model was established based on the historical learning achievements, life trajectory, graduates’ salary, school infrastructure and other information combined with the artificial intelligence Back Propagation neural network algorithm. Through the analysis of the training resulted, it was found that the students’ academic performance was related to the reasonable laboratory study time, dormitory stay time, physical exercise time and social entertainment time. Finally, the system could intelligently predict students’ academic performance and give reasonable suggestions according to the established prediction model. The realization of this project could provide technical support for university educators.

scholarly journals 2,3-Dihydrobenz[4,5]imidazo[2,1-b]thiazole

IUCrData ◽  
2016 ◽  
Vol 1 (12) ◽  
Author(s):  
Ahmed Moussaif ◽  
Youssef Ramli ◽  
Nada Kheira Sebbar ◽  
El Mokhtar Essassi ◽  
Joel T. Mague
Keyword(s):  
Hydrogen Bond ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Thiazole Ring ◽  
Asymmetric Unit ◽  
Π Interactions ◽  
Compound C ◽  
Centroid Distance ◽  
Independent Molecules ◽  
And Inversion

The asymmetric unit of the title compound, C9H8N2S, consists of two independent molecules (AandB) differing in the conformation of the thiazole ring: twisted for moleculeAand planar for moleculeB. In the crystal, molecules stack along thecaxis in alternatingAandBlayers. Within the layers, molecules are linked by C—H...π interactions, and inversion-relatedBmolecules are linked by offset π–π interactions [inter-centroid distance = 3.716 (1) Å]. The two molecules are also linked by a C—H...N hydrogen bond, which results finally in the formation of a three-dimensional structure.

scholarly journals Sill emplacement during rifting and inversion from three-dimensional seismic and well data, Phitsanulok Basin, Thailand

Geosphere ◽  
2017 ◽  
Vol 13 (6) ◽  
pp. 2017-2040 ◽  
Author(s):  
Songwoot Naviset ◽  
Christopher K. Morley ◽  
Diako H. Naghadeh ◽  
Jaydeep Ghosh
Keyword(s):  
Three Dimensional ◽  
Well Data ◽  
And Inversion

scholarly journals The Detection of Internal Fingerprint Image Using Optical Coherence Tomography

2017 ◽  
Vol 22 (4) ◽  
pp. 59-72 ◽  
Author(s):  
Joanna Sekulska-Nalewajko ◽  
Jarosław Gocławski ◽  
Dominik Sankowski
Keyword(s):  
Optical Coherence Tomography ◽  
Cross Sections ◽  
High Intensity ◽  
Three Dimensional ◽  
Skin Surface ◽  
Image Space ◽  
Optical Coherence ◽  
Fingerprint Image ◽  
Volumetric Images

Abstract Recently, optical coherence tomography (OCT) has been tested as a contactless technique helpful for damaged or spoofed fingerprint recovery. Three dimensional OCT images cover the range from the skin surface to papillary region in upper dermis. The proposed method extracts from cross-sections of volumetric images (B-scans) high intensity ridges in both air-epidermis and dermis-epidermis interfaces. The extraction is based on the localisation of two OCT signal peaks corresponding to these edges. The borders are spline smoothed in two orthogonal planes of the image space. The result images are presented and compared with camera views.

Three-dimensional magnetotelluric axial anisotropic forward modeling and inversion

2018 ◽  
Vol 153 ◽  
pp. 75-89 ◽  
Author(s):  
Hui Cao ◽  
Kunpeng Wang ◽  
Tao Wang ◽  
Boguang Hua
Keyword(s):  
Three Dimensional ◽  
Forward Modeling ◽  
And Inversion

scholarly journals Three-dimensional analysis of the physiologic drift of adjacent teeth following maxillary first premolar extractions

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Fei Teng ◽  
Fei-Yu Du ◽  
Hui-Zhong Chen ◽  
Ruo-Ping Jiang ◽  
Tian-Min Xu
Keyword(s):  
Three Dimensional ◽  
Posterior Teeth ◽  
Fixed Appliance ◽  
Premolar Extraction ◽  
Negative Effect ◽  
Vertical Changes ◽  
Anchorage Loss ◽  
Drift Models ◽  
To Receive ◽  
Positive Effect

Abstract We assessed the three-dimensional (3D) pattern of the physiologic drift of the remaining adjacent teeth after premolar extraction due to orthodontic reasons and the associated factors. Data were collected from 45 patients aged 17.04 ± 5.14 years who were scheduled to receive a fixed appliance after maxillary premolar extraction. Seventy-five drift models were obtained and digitalized via 3D scanning. The average physiologic drift duration was 81.66 ± 70.03 days. Angular and linear changes in the first molars, second premolars, and canines were measured using the 3D method. All the examined teeth had tipped and moved towards the extraction space, leading to space decreases. Posterior teeth primarily exhibited significant mesial tipping and displacement, without rotation or vertical changes. All canine variables changed, including distal inward rotation and extrusion. The physiologic drift tended to slow over time. Age had a limited negative effect on the mesial drift of posterior teeth, whereas crowding had a limited positive effect on canine drift. Thus, the mesial drift of molars after premolar extraction may lead to molar anchorage loss, particularly among younger patients. The pattern of the physiologic drift of maxillary canines can help relieve crowding and facilitate labially ectopic canine alignment, whereas canine drift is accelerated by more severe crowding.

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