Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2最新文献_第10页

Ergonomic Factors in Patenting Computer Systems for Personnel's Selection and Training 计算机专利系统中人的选择与培训中的人机工程学因素

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-51

Valery Spasennikov, Kiril Androsov, G. Golubeva

{"title":"Ergonomic Factors in Patenting Computer Systems for Personnel's Selection and Training","authors":"Valery Spasennikov, Kiril Androsov, G. Golubeva","doi":"10.51130/graphicon-2020-2-4-51","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-4-51","url":null,"abstract":"The authors identify ergonomic factors related to the composition, structure and typical functions in the process of taking into account the criteria for the protection of inventions when patenting technical solutions in the field of professional selection and training of operators and drivers of military and civil man-machine complexes. The article describes the ergonomic capabilities of selection methods and devices, technical results from the introduction of virtual, hardware-software and computer simulators for training welders, locomotive drivers, radar systems' operators, operator of remotely piloted aircraft, vehicles' mechanics-drivers. For the selection of patents in subclasses of inventions, criteria for expert evaluation of their ergonomics were first proposed based on such criteria as manageability, serviceability and usability.in total, three experts were involved, and the consistency of the solution (the concordance coefficient) during selection was w=0.67. In advanced research related to the construction of automated patent search systems, it is necessary to develop decisive rules for the selection of inventions. The authors of the article plan to develop criteria for the ergonomics of selected inventions for further analysis of promising systems for selecting and training specialists in such IPC categories as G09B9/00, G06F15/20 and A61B5/16.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129933892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Light Reflection from Real Surfaces: Probabilistic Model of the Layer Radiance Factor 真实表面的光反射:层辐射系数的概率模型

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-37

V. Budak, A. Grimailo

引用次数: 2

Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments 生物实验结果分析的基本计算机视觉方法的实现

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-72

K. Ezhova, Andrey Veremenko, Ksenia Baranova, Alexander Belaykov, Vladislav Cherebedov, Evgeny Lanskov

{"title":"Implementation of Basic Computer Vision Methods for Analyzing the Results of Biological Experiments","authors":"K. Ezhova, Andrey Veremenko, Ksenia Baranova, Alexander Belaykov, Vladislav Cherebedov, Evgeny Lanskov","doi":"10.51130/graphicon-2020-2-3-72","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-72","url":null,"abstract":"The article discusses the video processing methods necessary for the automation of processing the results of the experiments “Morris Water Maze”, “Open Field”, “Elevated Cross-shaped Maze”, which are used to study the behavior of laboratory mice depending on various external factors, as well as an experiment with daily tracking Rhesus macaque activity. To process the received information, the C++ programming language is used including the OpenCV 3.2 and Qt 5.2 libraries. Later in the paper new applications are discussed to further the research based on findings described here. For further use monkey observation is proposed. The choice was made based on similarity between discussed and proposed methods for video processing and automation of experiments. For reviewed methods their advantages and disadvantages are included in the work. For each of experiments “Morris Water Maze”, “Open Field”, “Elevated Crossshaped Maze” there is corresponding image sequence for anyone unfamiliar with the topic.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optical Design of a Dual Channel Microscope 双通道显微镜的光学设计

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-49

Anastasiya Kozhina, E. Soshnicova, A. Uvarova

{"title":"Optical Design of a Dual Channel Microscope","authors":"Anastasiya Kozhina, E. Soshnicova, A. Uvarova","doi":"10.51130/graphicon-2020-2-4-49","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-4-49","url":null,"abstract":"The article presents a new scheme of an optical microscope. The proposed scheme contains two channels: one works with a wide field of view, the other forms a high-resolution image. The simultaneous fulfillment of these conditions significantly increases the information capacity of the system. The proposed scheme overcomes the limitations imposed by the Lagrange invariant. In addition, the presented work solves the relevant task of optical instrumentation: using one device,it becomes possible to simultaneously obtain an image of an object in two scales, one of which gives a detailed image of microstructures, and the other shows the state of the area around the part of the object being studied in detail. This time synchronization is especially important for studying biological objects. The design features of the optical scheme make it possible to abandon the refocusing of the objective, which is necessary in biological microscopes when the magnification is changed. Thus, the proposed system solves not only scientific and technical tasks, but also improves the ergonomics of work in microscopy.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114554161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm 对气动曲面的变形进行建模以估计摄影测量算法的误差

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-6

A. Poroykov, Ilina, E. Shmatko

{"title":"Modeling the Deformation of the Aerodynamic Surface to Estimate the Error of the Photogrammetric Algorithm","authors":"A. Poroykov, Ilina, E. Shmatko","doi":"10.51130/graphicon-2020-2-4-6","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-4-6","url":null,"abstract":"In-flight measurements are one of the directions of aircraft testing which has been developed actively recently. Creation of a flight laboratory based on an unmanned vehicle to reduce the cost of developing and analysis techniques for in-flight measurements is proposed. For the laboratory an onboard system for recording experimental images during a flight was developed. It was decided to conduct computer modeling of images that can be obtained using the developed system for its verification. Unity a cross-platform photorealistic graphic engine with visual integrated development environment was chosen for this purpose. For modeling both external and internal real camera parameters, including distortion coefficients, and parameters of the measured surface could be preassigned. The developed methodology for computer modeling of images of the deformable surface allows to evaluate the accuracy of various algorithms for processing experimental images, as well as the influence of the parameters of the experimental setup on the error of the measurements results.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132033891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determination of Internal Waves Off the Coast of Morocco According to Earth Remote Sensing Data 根据地球遥感资料测定摩洛哥海岸外内波

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-24

T. Tatarnikova, I. Martyn, S. Stepanov, Y. Petrov, A. Sidorenko

{"title":"Determination of Internal Waves Off the Coast of Morocco According to Earth Remote Sensing Data","authors":"T. Tatarnikova, I. Martyn, S. Stepanov, Y. Petrov, A. Sidorenko","doi":"10.51130/graphicon-2020-2-4-24","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-4-24","url":null,"abstract":"This paper presents the results of a study of the internal wave isolation of the Northern coast of Morocco using synthetic aperture radar (SAR) images. A filter is applied to the remote sensing data to reduce the image grain, after which the direction of propagation of the wave is determined and its length is calculated. In most cases, internal waves appear on satellite images as quasi-periodic linear structures whose brightness is lower or higher than the background, which is well registered in the visible range and by synthetic aperture radar. When analyzing images off the coast of Morocco, internal waves were detected, the wave packet propagates in the direction from West to East. When comparing the obtained images with the bottom relief map, it can be assumed that the generation of internal waves is caused by the roughness of the bottom near the Northern coast of Morocco. The maximum wave length in the wave packet is almost 0.7 km, consists of at least 5 solitons, the prints of these solitons in the sea roughness area are visible in the images mainly in the Central part of a wave packet, the distance between a wave packet solitons is different. The wavelength decreases when moving to the back of a wave packet, which can be traced by changing the contrast on the site. As a result, internal waves were detected off the Northern coast of Morocco in rads images with a synthesized aperture, and the main characteristics of these waves were determined.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visualization of the Process of Static Buckling of a Micropolar Meshed Cylindrical Panel 微极网格圆柱板静态屈曲过程的可视化

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-10

E. Krylova, I. Papkova, V. Krysko

引用次数: 0

Constructive Geometric Models with Imaginary Objects 具有虚构对象的构造几何模型

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-4-27

D. Voloshinov, A. Solovjeva

引用次数: 0

Impact Factor of a Term: a Tool for Assessing Article's Future Citations and Author's Influence Based on PubMed and DBLP Collections 一个术语的影响因子:基于PubMed和DBLP馆藏评估文章未来引用和作者影响力的工具

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-74

M. Charnine, Aida Khakimova, A. Klokov

{"title":"Impact Factor of a Term: a Tool for Assessing Article's Future Citations and Author's Influence Based on PubMed and DBLP Collections","authors":"M. Charnine, Aida Khakimova, A. Klokov","doi":"10.51130/graphicon-2020-2-3-74","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-74","url":null,"abstract":"This article describes a new bibliometric indicator called Impact Factor of a Term (IFT) that helps to predict future impact of scientific works and/or the author. The predictive properties of IFT are proven by two examples of different collections of scientific articles. It is shown that the correlations of the current and future IFT values depending on the trend are practically similar for both collections. The graphs of IFT correlations of the current and future years depending on the number of articles with the word/term are presented. The graphs show that the higher the current frequency of the term and the number of articles with this term, the greater the correlation and stability of IFT. The stability of IFT helps to accurately predict the number of future citations. The list of the most informative words/terms with the largest total values of IFT multiplied by the current frequency is analyzed. It has been shown that the size of collection affects the stability and predictive properties of IFT. The words and terms with high IFT values allow us to judge the future impact of an article and its author based on the prediction of future citations. Such words also help identify promising research directions.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"89 13","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120820699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Two Machine Learning Based Schemes for Solving Direct and Inverse Problems of Radiative Transfer Theory 两种基于机器学习的辐射传递理论正反问题求解方案

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2 Pub Date : 2020-12-17 DOI: 10.51130/graphicon-2020-2-3-45

D. Efremenko, Himani Jain, Jian Xu

{"title":"Two Machine Learning Based Schemes for Solving Direct and Inverse Problems of Radiative Transfer Theory","authors":"D. Efremenko, Himani Jain, Jian Xu","doi":"10.51130/graphicon-2020-2-3-45","DOIUrl":"https://doi.org/10.51130/graphicon-2020-2-3-45","url":null,"abstract":"Artificial neural networks (ANNs) are used to substitute computationally expensive radiative transfer models (RTMs) and inverse operators (IO) for retrieving optical parameters of the medium. However, the direct parametrization of RTMs and IOs by means of ANNs has certain drawbacks, such as loss of generality, computations of huge training datasets, robustness issues etc. This paper provides an analysis of different ANN-related methods, based on our results and those published by other authors. In particular, two techniques are proposed. In the first method, the ANN substitutes the eigenvalue solver in the discrete ordinate RTM, thereby reducing the computational time. Unlike classical RTM parametrization schemes based on ANN, in this method the resulting ANN can be used for arbitrary geometry and layer optical thicknesses. In the second method, the IO is trained by using the real measurements (preprocessed Level-2 TROPOMI data) to improve the stability of the inverse operator. This method provides robust results even without applying the Tikhonov regularization method.","PeriodicalId":344054,"journal":{"name":"Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129698489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0