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2022 XXV International Conference on Soft Computing and Measurements (SCM)最新文献

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Discretization of a Continuous Frequency Value in a Model of Socially Significant Behavior 社会重要行为模型中连续频率值的离散化
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794892
A. Toropova, T. Tulupyeva
{"title":"Discretization of a Continuous Frequency Value in a Model of Socially Significant Behavior","authors":"A. Toropova, T. Tulupyeva","doi":"10.1109/scm55405.2022.9794892","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794892","url":null,"abstract":"Frequency or behavior rate is one of the main characteristics of behavior and can be defined as the average number of episodes of behavior that occur over a period. Knowledge of behavior rate can be used in many applications to predict behavior and estimate other related properties. Previously, a model based on a Bayesian belief network was presented to estimate behavior rate using data on recent episodes of behavior and the minimum and maximum intervals between episodes. Because Bayesian belief networks involve dealing with discrete values, the model uses discretization of continuous values. In this paper, we examine how different methods of discretization of a continuous variable describing the behavior rate affect the effectiveness of this model’s predictions.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"25 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":"114402176","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
Causal Relationships in Explainable Artificial Intelligence 可解释人工智能中的因果关系
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794848
Natalya V. Shevskaya, Ekaterina S. Akhrymuk, N. Popov
{"title":"Causal Relationships in Explainable Artificial Intelligence","authors":"Natalya V. Shevskaya, Ekaterina S. Akhrymuk, N. Popov","doi":"10.1109/scm55405.2022.9794848","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794848","url":null,"abstract":"The problem of explainability of artificial intelligence models has been solved for a long time by classical methods of explanation, generated by even more classical methods from the field of feature space analysis. This approach shows which of the parameters of the observed objects in the initial data set have the greatest influence on the decision being made (for example, in the problems of classifying brain MRI images by the presence of a disease). However, in the answer to the question about the parameters that have the greatest influence on the decision being made, there is no answer to the question about the reasons for the decision being made (it often takes a doctor a lot of time to explain to the patient the need for a particular action, for example, surgery. The problem of determining the significance of parameters is known due to the rich the history of decisions in the field of feature space analysis and is not essentially new.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"105 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":"130090936","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
Comparative Analysis of Models for Assessing the Digital Maturity of the Transformation Infrastructure 转型基础设施数字化成熟度评估模型的比较分析
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794829
I. Brusakova
{"title":"Comparative Analysis of Models for Assessing the Digital Maturity of the Transformation Infrastructure","authors":"I. Brusakova","doi":"10.1109/scm55405.2022.9794829","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794829","url":null,"abstract":"The organization of digital transformations for high-tech enterprises and businesses depends on the success of the pre-project stage of R&D projects. The pre-project stage allows determining the readiness of infrastructure, projects, human resources, processes for digital transformations. The paper presents a comparative analysis of the use of various models of digital maturity of the transformation infrastructure using the example of Graves models, the Stanford model, the COBIT model. The use of artificial intelligence mechanisms at the pre-project stage makes it possible to ensure the effectiveness of the analysis.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"177 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":"123475325","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
RuBERT Embeddings in the Task of Classifying User Posts on a Social Media RuBERT嵌入在社交媒体用户帖子分类任务中的应用
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794844
V. Oliseenko, M. Abramov
{"title":"RuBERT Embeddings in the Task of Classifying User Posts on a Social Media","authors":"V. Oliseenko, M. Abramov","doi":"10.1109/scm55405.2022.9794844","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794844","url":null,"abstract":"This paper presents models for solving the problem of multiclass classification of user posts in a social media. These models are based on embeddings extracted from messages using the RuBert language model and a fully connected neural network built over it. The models presented are compared to a baseline model using long-term short-term memory neurons (LSTM). The results will improve the accuracy of the classification posts, which in turn will improve the accuracy of assessing the psychological characteristics users.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"24 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":"129580521","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
Intelligent Detection of the Nanomaterials Spatial Structure with Synthetic Electron Microscopy Images 基于合成电子显微镜图像的纳米材料空间结构智能检测
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794885
Dmitry S. Polyanichenko, A. Chernov, O. Kartashov, A. Alexandrov, V. Butova, M. Butakova
{"title":"Intelligent Detection of the Nanomaterials Spatial Structure with Synthetic Electron Microscopy Images","authors":"Dmitry S. Polyanichenko, A. Chernov, O. Kartashov, A. Alexandrov, V. Butova, M. Butakova","doi":"10.1109/scm55405.2022.9794885","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794885","url":null,"abstract":"One of the priority tasks in the process of chemical synthesis is study of nanoparticles morphological features. The key characteristics of materials at the molecular level are the size and geometric shape of the structure of the nanomaterials studied. One of the most effective methods for characterizing the morphology of nanoparticles is the transmission electron microscopy method. The main problem of applying this approach under the conditions of streaming synthesis of nanomaterials is the laboriousness and routine processing of electron microscopy images by a researcher. The creation of methods for automating the determination of the shape and size of nanoparticles will reduce the level of time and resource costs for diagnostics based on the results of the chemical synthesis of nanomaterials. This fact will positively affect the efficiency of scientific research in the field of synthesis and diagnostics of new functional nanomaterials. This paper proposes an accelerated method for generating synthetic images of transmission electron microscopy as a basis for creating software tools to accelerate the process of diagnosing and characterizing metal-organic frameworks in the process of chemical synthesis based on the use of deep learning technologies. The approach of automatic generation of the spatial structure of synthesized materials at the nanolevel is considered, which makes it possible to simulate a wide range of possible outcomes during laboratory synthesis. Procedures are proposed for generating sets of synthetic transmission electron microscopy images with support for automatic segmentation and extraction of areas of interest for machine and deep learning applications. The data sets obtained were tested and evaluated to solve the designated problem using the Yolo v5 object detection deep learning algorithm.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"5 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":"132874380","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: 3
Application of Machine Learning Methods to Assessment of Applicants 机器学习方法在申请人评估中的应用
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794849
A. A. Timofeev
{"title":"Application of Machine Learning Methods to Assessment of Applicants","authors":"A. A. Timofeev","doi":"10.1109/scm55405.2022.9794849","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794849","url":null,"abstract":"The report considers the application of machine learning methods for solving the problem of assessing applicants. The creation of a model for predicting the success of an applicant's education at a university is described. The results of experiments with various machine learning algorithms and data preprocessing are presented. The developed model was evaluated based on the data of the latest session.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"1 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":"131338370","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
Mixed-criticality Application Scheduling in Safety-involved Embedded Systems 涉及安全的嵌入式系统中混合关键应用程序调度
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794839
Elena V. Dushutina
{"title":"Mixed-criticality Application Scheduling in Safety-involved Embedded Systems","authors":"Elena V. Dushutina","doi":"10.1109/scm55405.2022.9794839","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794839","url":null,"abstract":"The feasibility of efficient scheduling of real-time applications with different degrees of criticality in safety-involved systems is considered. The object of the study is the scheduling of tasks the solution of which is necessary to identify the pre-emergency state of electrical equipment, predict and detect faults, timely reconfigure to restore the initial operability and functionality. As a result of the study, for the considered safety-related system, a set of the most important functional tasks of hard real-time is identified, their temporal characteristics are determined, and the most expedient practical approach to scheduling tasks with mixed-criticality is proposed. The suggested approach is applied to the development of real-time system software in the safety-involved embedded system for monitoring the electrical equipment condition. The paper presents some trial results of the developed system for two aspects: the results of monitoring the state of electrical equipment using the example of thermal analysis and analysis of current distribution, also a selection of results reflecting the operation of the real-time scheduler.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"80 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":"127162947","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
Computer Vision System for Image-based Automated Dial Meter Reading 基于图像的自动抄表计算机视觉系统
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794897
A. V. Devyatkin, A. Muzalevskiy, Alexander S. Morozov
{"title":"Computer Vision System for Image-based Automated Dial Meter Reading","authors":"A. V. Devyatkin, A. Muzalevskiy, Alexander S. Morozov","doi":"10.1109/scm55405.2022.9794897","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794897","url":null,"abstract":"The paper describes a computer vision system that allows to recognize the measurements of dial meter devices obtained using a video camera, taking into account the convenience of using the system by the end user. The algorithm of operation is described, the results of recognition are given.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"15 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":"122207157","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: 2
Development of a Compressor-free Climate Control System 无压缩机气候控制系统的研制
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794878
Veronika Chervonaya, A. V. Lillo
{"title":"Development of a Compressor-free Climate Control System","authors":"Veronika Chervonaya, A. V. Lillo","doi":"10.1109/scm55405.2022.9794878","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794878","url":null,"abstract":"The work deals with the issue of implementing a compressorless climate control system for a specialized area. The hydraulic scheme of the system is developed and the features of its operation are described. The designed system is based on the use of Peltier elements as the main source of cooling. In the future the features of their functioning will be taken into account that will be used to improve the efficiency of the designed system. The substantiation of the choice of the heat-conducting liquid used in the system is given. Some parameters of the main components of the system were determined experimentally. They will be taken into account when determining the list and number of modules used in the system. On the basis of the conducted studies, conclusions are given about the efficiency of the hydraulic part of the system being designed and ways to improve the efficiency of its work.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"NS21 2 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":"123419483","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
Modification of the Kalman Filter with Residual Separation and Localization 基于残差分离和局部化的卡尔曼滤波改进
2022 XXV International Conference on Soft Computing and Measurements (SCM) Pub Date : 2022-05-25 DOI: 10.1109/scm55405.2022.9794847
Il’mir R. Gogorev, Grigorij V. Belsky
{"title":"Modification of the Kalman Filter with Residual Separation and Localization","authors":"Il’mir R. Gogorev, Grigorij V. Belsky","doi":"10.1109/scm55405.2022.9794847","DOIUrl":"https://doi.org/10.1109/scm55405.2022.9794847","url":null,"abstract":"A modification of the Kalman filter with residual separation and localization is proposed, which makes it possible to develop an estimate of the measured and restored variables affected by noise under conditions of inaccurately known noise intensities and parametric uncertainty of the plant model. The results of mathematical modeling are presented, demonstrating the advantages of the proposed modification over the classical approach to constructing a Kalman filter.","PeriodicalId":162457,"journal":{"name":"2022 XXV International Conference on Soft Computing and Measurements (SCM)","volume":"105 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":"124080183","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
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