Freshwater, Terrestrial, and Marine Turtles of Florida by Patricia Sprott, Frank J. Mazzotti, Jocie A. Graham

“…Turtles (including tortoises and terrapins) can be terrestrial, aquatic, or semi-aquatic. In aquatic food pyramids, some turtles are top carnivores since they feed on other small aquatic animals and rarely become food themselves. …”
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Le Surtout de Monsieur Cartier de la Maison Cartier à Parcs Canada by Annie Lussier

“…Le processus de muséalisation suit la pyramide des valeurs érigée par Yves Bergeron, d’un symbole de reconnaissance, il tombe dans l’oubli pour être à nouveau mis en avant et exposé, encore aujourd’hui, au lieu historique national du Canada de Sir-George-Étienne Cartier.…”
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Multi-sensor image fusion based on contrast and directional features optimization by Haiyan Jin, Meng Zhang, Zhaolin Xiao, Yaning Li

“…In this article, we use contrast pyramid to decompose visible and infrared images, respectively, and the directional filter banks are applied to obtain multiple directional sub-band image features. …”
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Research on Human Motion Analysis in Moving Scene Based on Timing Detection and Video Description Algorithm by Quanping Shen, Songzhong Ye

“…In this paper, we propose a feature pyramid network-based temporal action detection (FPN-TAD) algorithm, which is used to solve the problem that the action proposal module has a low recall rate for small-scale temporal target action regions in the current video temporal action detection algorithm research. …”
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Multi-scale Logo detection algorithm based on convolutional neural network by Yuchao JIANG, Lixin JI, Chao GAO, Shaomei LI

“…Aiming at the requirements for multi-scale Logo detection in natural scene images,a multi-scale Logo detection algorithm based on convolutional neural network was proposed.The algorithm was based on the realization of two-stage object detection.By constructing feature pyramids and adopting layer-by-layer prediction,multi-scale region proposals were generated.The multi-layer feature maps in convolutional neural networks were fused to enhance the feature representation.The experimental results on the FlickrLogos-32 dataset show that compared with the baseline,the proposed algorithm can improve the recall rate of region proposals,and can improve the performance of small Logo detection while ensuring the accuracy of large and middle Logo,proving the superiority of the proposed algorithm.…”
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How to Conduct High-Quality Systematic Review and Meta-analysis in Radiology and Interventional Radiology by Manish Shaw, Sanjiv Sharma

“…Systematic reviews and meta-analyses form a secondary research methodology that identifies and critically appraises all the relevant studies that are available in various databases to answer a particular research question in an unbiased and systematic manner. In the pyramid of level of evidence, the systematic review of high-quality studies is placed at the highest hierarchy position. …”
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CONSTRUCTIVE GEOMETRY IN IMPLEMENTATIONS OF MODERN 3D GRAPHICS by Ivan G. Lenchuk, Oleksandr O. Mosiiuk

“…In particular, the steps of creating a solid model of a pyramid, which is formed by cutting it off with a plane from a regular quadrangular pyramid, are illustrated by the basis of calculations and constructions, which are performed using techniques of constructive geometry. …”
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基于透视不变二值特征描述子的图像匹配算法 by Li-chuan GENG, Song-zhi SU, Shao-zi LI

“…Current local feature based image matching algorithms are usually less robust to image perspective transformation.Aiming to solve this problem，a new perspective invariant binary code (PIBC) based image matching algorithm is proposed.Firstly，FAST corners are detected on the pyramid images，those corners with non-maximum Harris corner response value and the edge points are further eliminated.And then，by simulating the perspective transformations of images taken from different viewpoints，a single FAST corner is described with binary descriptors under different viewpoint transformations，which makes the descriptor could describe the identical feature point on different perspective transform images.Experimental results show its robustness to image perspective transformation，while its complexity is similar with SURF.…”
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Kinematics Analysis and Simulation of a 4-CPS/UPU Parallel Mechanism by Liu Juan, Li Ruiqin, Wang Yuan, Ning Fengping

“…The workspace of the mechanism is continuous without cavity, and its shape is similar to that of a pyramid, which is regular and symmetrical; the smooth displacement and velocity curves obtained by simulation show that the mechanism has good kinematic performance, which provides a certain theoretical basis for its parametric design in the field of parallel machine tools.…”
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Analyzing the complex properties of bank account transaction network by Fang LYU, Xinlin ZHANG, Wei WANG, Junheng HUANG, Bailing WANG

“…Firstly,a general directed and weighted transaction network model is built on the basis of the transaction characteristics of bank accounts.Secondly,referring to the definition of complex network,the complex network properties of the transaction network are verified from two levels of network structure and node.The network structure properties includes static properties,named scale-free property and small-world property,and dynamic evolution property,that is self-organization property.In addition,the attractor property is utilized for verifying the dynamical characteristic of complex network nodes.Finally,on the real bank account transaction data contains illegal pyramid marketing activities,the following conclusions were drawn:the network has scale-free property,small-word property,partially self-organization property and strange attractors.…”
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Online Courses: To Accept Impossible to Ignore by S. V. Lobova, E. V. Ponkina

“…The conducted sociological research made it possible to assess the involvement of Russian university lecturers in the processes of digitalization of education, to determine the motives for their activities in creating and integrating online courses into the educational process, and to form an understanding of the acceptance of online learning by the Russian teaching community. The pyramid of acceptance of Cox and Trotter’s open educational resources is a repulsive idea for the study. …”
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Virtual reality compressing and transmitting system based on mobile edge computing by Bin TAN, Songyuan ZHAO, Jun WU, Wenru ZHANG

“…In order to solve the problem of the high requirements of data transmission rate and sensitivity to transmission delay in virtual reality (VR) based on cloud services,a Cloud VR system with MEC (mobile edge computing) was proposed,mainly including viewpoint-based VR processing and HDA (hybrid digital-analog) transmission optimization.Firstly,a dynamic streaming method based on user viewpoint and pyramid projection was used to implement a complete edge cloud VR system.Then,HDA transmission was introduced to optimize the transmission,and a heuristic algorithm for resource allocation was given.Finally,the base station protocol stack was transformed,and the MEC was integrated into the LTE (long term evolution) system to implement a complete mobile edge cloud VR system.Experimental results demonstrate that the proposed scheme has good robustness and efficient transmission by comparing with the existing schemes.…”
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Image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient by Yan YANG, Zhiwei WANG

“…Aiming at the drawbacks of traditional dark channel prior,which was prone to distortion and Halo effects in the bright areas,a haze image restoration algorithm based on compensated transmission and adaptive haze concentration coefficient was proposed.First of all,a Gaussian function was used to fit the attenuation relationship between the haze and haze-free image,and the compensation transmission was set to correct the initial transmission.Then the characteristics of haze was analyzed,the concept of brightness entropy was introduced and the bright channel operation was performed to acquire entropy value with pixel by pixel.Combined with the Gaussian pyramid to extract texture features,the haze distribution map was obtained.An adaptive transformation was established to seek the haze concentration coefficient and get the accurate transmission.Finally,the recovery results were restored by improved atmospheric light value and atmospheric scattering model.Experimental results show that the recovered image has better color and detail,the degree of dehazing is thorough,the brightness is appropriate,and the effect is clear and natural.…”
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Le patient : le tiers impensé dans l’apprentissage du raisonnement clinique by Delphine Guyet, Jean-Luc Rinaudo

“…The analysis of the interactions and the different positions taken by the actors during the session allows modeling in an educational pyramid, placing the patient as a third part mediator in the learning of clinical reasoning. …”
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Fast panoramic image stitching algorithm based on parameter regression by Fan GUO, Xiaohu LI, Wentao LIU, Jin TANG

“…In reality, the field of view of images acquired by cameras was usually limited, and the demand for panoramic images was increasing.Therefore, a fast panoramic image stitching algorithm based on parameter regression was proposed for panoramic image sequences.The traditional image registration task was transformed into deep learning combined with machine learning, a multi-scale deep convolutional neural network (MDCNN) based on Gaussian difference pyramid was designed to extract features of stitching images, and LightGBM regression model was used to predict stitching parameters.The transformation matrix and the focal length of the camera were obtained to align the images, and a hyperbolic image fusion algorithm was designed to eliminate the stitching seam between the images.The experimental results show that the proposed algorithm can quickly mosaic images and obtain clearer and more natural panoramic mosaic effects than the existing representative algorithms.It also has good adaptability for infrared images.…”
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A dimension-enhanced residual multi-scale attention framework for identifying anomalous waveforms of fault recorders by Lixin Jia, Lihang Feng, Dong Wang, Jiapeng Jiang, Guannan Wang, Jiantao Shi

“…This framework first employs the Phase Adaptive Adjustment (PAA) method to address the phase offset problem of original recording data, then uses the Gramian Angle Field method to perform dimensionality expansion on the data processed by PAA, and finally utilizes the Residual Pyramid Squeeze Attention Network (ResPSANet) for identifying power disturbance abnormal waveforms. …”
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Spatial Images Feature Extraction Based on Bayesian Nonlocal Means Filter and Improved Contourlet Transform by Pengcheng Han, Junping Du

“…In this paper, we use a nonsubsampled pyramid structure and a nonsubsampled directional filter to achieve multidimensional and translation-invariant image decomposition for spatial images. …”
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Action Recognition by Joint Spatial-Temporal Motion Feature by Weihua Zhang, Yi Zhang, Chaobang Gao, Jiliu Zhou

“…The main contributions of this study include (1) a joint spatial-temporal multiresolution optical flow computation method which can keep encoding more informative motion information than recent proposed methods, (2) an enhanced DTW method to improve temporal consistence of motion in action recognition, and (3) coarse-to-fine DTW constraint on motion features pyramids to speed up recognition performance. Using this method, high recognition accuracy is achieved on different action databases like Weizmann database and KTH database.…”
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Infrared Dim Small Target Detection Algorithm with Large-Size Receptive Fields by Xiaozhen Wang, Chengshan Han, Jiaqi Li, Ting Nie, Mingxuan Li, Xiaofeng Wang, Liang Huang

“…It uses the Residual network with an Inverted Pyramid Structure (RIPS), which consists of convolutional layers that become progressively smaller, so it can have a larger effective receptive field and can improve the robustness of the model. …”
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Reasoning method for predicting crime partner by using intimacy network of bank accounts by Fang LYU, Haibo LU, Wei WANG, Junheng HUANG, Bailing WANG

“…In recent years,research on the law of capital transactions in the case of stakeholder-type illegal financial activities has attracted the attention of researchers.In order to solve the problem of using the bank transaction data to actively discover the abnormal account criminal crime partners,a crime partner prediction method based on the asymmetric intimacy network of the bank accounts was proposed.Firstly,a general network model for bank account transactions was established to embed time-series transaction data into the network structure.Then,using the direct and indirect transaction relationship information of the node,an account asymmetric intimacy calculation method was proposed.Finally,using the asymmetric interaction information of the nodes on the intimate network,the abnormal tendency index of the nodes is obtained.The experimental results on the actual data of the multi-level marketing group show that the crime partner prediction method based on the intimacy network can effectively find potential pyramid shelling members.…”
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