2022 XXV International Conference on Soft Computing and Measurements (SCM)最新文献_第7页

Monitoring of Spatial Characteristics of Two-dimensional Models of Three-dimensional Microelectronic Objects 三维微电子物体二维模型的空间特性监测

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794860

S. Mironov, L. E. Andreev

引用次数: 0

Evaluation of Human Factor Effect for the Accuracy of 3D Models of Heritage Science 人为因素对文物科学三维模型精度的影响评价

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794843

P. D. Badillo, Yara Jabr, V. Parfenov

{"title":"Evaluation of Human Factor Effect for the Accuracy of 3D Models of Heritage Science","authors":"P. D. Badillo, Yara Jabr, V. Parfenov","doi":"10.1109/scm55405.2022.9794843","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794843","url":null,"abstract":"3D laser and optical scanning technologies are invaluable tools in metrology applications, covering requirements of the most diverse fields of the scientific activity being Cultural Heritage Science (CH) one of them, where researchers and practitioners rapidly implemented their use allowing them to create highly accurate digital 3D models of real-life objects while preserving the objects condition thanks to their non-destructive working principle. Nonetheless, creation of 3D models starting from scanning procedures involves complex and time-demanding post-processing tasks that must be done by highly trained professionals who use different available tools to reach the final output and, as a consequence of this, the results might greatly differ in terms of reproduction accuracy, important requirement in CH field both in terms of measurement accuracy and observer’s perceived reproduction quality, depending on the application in which the resultant model will be used. Along this work, in which the scientific novelty resides in the study of the influence of the human factor over the accuracy of the creation of 3D models of objects of CH, we compare the results of three different post-processing procedures done by different operators with distinct experience in the area, we study the tools employed in each case, the main differences that feature the results and investigate how a common agreement is needed to try to reduce the gap between the finished models, in the search of reducing to a minimum the so-called human factor in creation of digital 3D objects for CH.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128150085","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

Developing a Performance Criterion to Assess Dating Error in the Personified Distributed Information-Measuring System 拟人分布式信息测量系统中测年误差评估的性能标准

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794867

N. Romantsova, A. Tsareva, Yaroslav A. Tyarkin

引用次数: 0

On one Approach to the Dynamic Digital Twins Models Synthesis 动态数字孪生模型综合的一种方法

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794895

Aleksandr I. Vodyaho, N. Zhukova, S. Abbas, I. Kulikov, Fahim Abdulgavi Abdulelah Annam

引用次数: 0

The Concept of a Device for Lung Monitoring 肺部监测设备的概念

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794851

Alisa S. Bogdanova, Yuliya O. Bobrova

引用次数: 0

Mobile Robot Model Predictive Control Model 移动机器人模型预测控制模型

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794835

Aleksandr P. Bondarchuk, P. V. Abramov, S. M. Bogdanova, D. Filatov

引用次数: 0

Fuzzy Linear Regression for Horizontally Partitioned Data 水平分割数据的模糊线性回归

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794870

V. Gisin, E. Volkova

引用次数: 0

The Quantum Circuits Configurations for the Module of Conjugate Coefficients Permutations when Performing QFT 执行QFT时共轭系数置换模的量子电路构型

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794856

V. Kalmychkov, A. Kukaev, I. Matveeva

引用次数: 0

Generalized Model of Cognitive Activity Taking into Account Uncertainty in an Information-saturated Environment 考虑信息饱和环境中不确定性的认知活动广义模型

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794831

A. S. Pisarev, E. E. Kotova, I. A. Pisarev

引用次数: 0

Algorithm for Processing Medical Images to Create a Dataset while Maintaining the Size of Structural Elements 保持结构元素大小的医学图像数据集处理算法

2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794869

Alexandra E. Gerasimenko, E. G. Evdakova

{"title":"Algorithm for Processing Medical Images to Create a Dataset while Maintaining the Size of Structural Elements","authors":"Alexandra E. Gerasimenko, E. G. Evdakova","doi":"10.1109/scm55405.2022.9794869","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794869","url":null,"abstract":"Currently, there is an acute problem of segmentation of medical images and the allocation of structures on them for their further use for practical purposes. Thus, there is a problem of selection and segmentation of different areas in the human body based on MRI or CT images for further use of these data in the construction of 3D models. In turn, these models may not be the final product, but can already be used in the construction of mathematical models that describe various processes of interest to us in this area. Thus, the use of brain regions reconstructed from MRI images allows one to obtain a personalized distribution of electromagnetic field parameters in the brain under the influence of transcranial magnetic stimulation, which can greatly facilitate the task of selecting parameters and the area of influence. Since the selection of these areas manually is a rather laborious and expensive process, there is a tendency to create neural networks and train them for this purpose. However, the files that come to the input of the neural network for its training and use must be of the same size. In the case of using known operations to solve this problem, structural elements can change not only their size, but also their relative position, which is critical for the purposes of the study. In our work, we propose an algorithm for processing medical data to create a dataset while maintaining the size of structural elements.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121043882","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