Informatization and communication最新文献_第3页

Developme nt of a system for recording student achievement using. development of the administration module 开发一个学生成绩记录系统。管理模块的开发

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-13-19

E. M. Markushin, K. E. Ognegin, P. S. Polskaya, A. A. Popov, V. Shchedrin, O. Lopateeva

{"title":"Developme nt of a system for recording student achievement using. development of the administration module","authors":"E. M. Markushin, K. E. Ognegin, P. S. Polskaya, A. A. Popov, V. Shchedrin, O. Lopateeva","doi":"10.34219/2078-8320-2021-12-4-13-19","DOIUrl":"https://doi.org/10.34219/2078-8320-2021-12-4-13-19","url":null,"abstract":"The article discusses the decision of some problems connected with the distribution of increased state academic scholarships, such as: late submission of documents, lengthy processing of applications, the paper version of the filing documents that complicate the process of submission and consideration of applications and documents into a higher state academic scholarship, thereby increasing the burden on the members of the scholarship Commission and directorates of the institutions.The aim of this work is to find ways to improve the efficiency and accessibility of this process through an information system that will allow you to submit achievements for authentication and applications for an increased state academic scholarship online, track your position in the ranking in real time, view the achievements of other students directly from the rating system.Information system design is implemented using a new stack of information design and development approaches. The article pays special attention to the design of the database and the interface part of the application. The article presents a working web application “administration of the achievement accounting system”.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127455075","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

Method of protection of personal data in its processing in information system based on the artificial neural network 基于人工神经网络的信息系统中个人数据处理的保护方法

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-54-59

I. Kozin, Llc «Sigma»

引用次数: 0

On-board electronic telecommunication equipment with laser illumination in integrated search systems of underwater vehicles 水下航行器综合搜索系统中带激光照明的机载电子通信设备

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-20-28

V. Martynov, Admiral Makarov Sumis, I. Skripnik, Y. Ksenofontov, M. Shimanskaya

{"title":"On-board electronic telecommunication equipment with laser illumination in integrated search systems of underwater vehicles","authors":"V. Martynov, Admiral Makarov Sumis, I. Skripnik, Y. Ksenofontov, M. Shimanskaya","doi":"10.34219/2078-8320-2021-12-4-20-28","DOIUrl":"https://doi.org/10.34219/2078-8320-2021-12-4-20-28","url":null,"abstract":"The intensive development of autonomous underwater robotic complexes is very important for the development of the World Ocean. One of the main problems of using underwater robotic complexes is an increase searching efficiency of underwater devices based on the integration of the capabilities of onboard radio-electronic systems of obtaining information in various physical fields. Analyzing the physical basis of the search, including the consideration of the environment of its conduct, objects, as well as detection tools, it can be noted that the result of the search operations of the same objects in the same water areas for various underwater robotic complexes depends on what means of detection they are equipped. The presence of a certain set of the technical means will specify the development of the optimal sequence of actions of the search algorithm. The creation of such algorithms in relation to the task of increasing the search potential of underwater robotics will determine the direction of the research that ensures the formation of an optimal system of underwater search. Efficient use of search resources substantiates the conclusion that radio-electronic means of submersibles forming the system of underwater search, include the number of devices functionally interconnected for its effective conduct. The specified combination is aimed at the formation of the so-called integrated search system, which provides an exchange of information between different channels of searching devices about all objects detected. The article provides proposals for the creation of integrated search systems taking into account practical experiments and experience in designing underwater vehicles capable to implement the optimal system of underwater search using laser technologies.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124533071","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

Data normalization for training and analysis of the MaskRCNN model using the k-means method for computer vision of smart refrigerator 使用k-means方法对智能冰箱计算机视觉的MaskRCNN模型进行数据归一化训练和分析

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-74-80

M. Dorrer, A. Alekhina

{"title":"Data normalization for training and analysis of the MaskRCNN model using the k-means method for computer vision of smart refrigerator","authors":"M. Dorrer, A. Alekhina","doi":"10.34219/2078-8320-2021-12-4-74-80","DOIUrl":"https://doi.org/10.34219/2078-8320-2021-12-4-74-80","url":null,"abstract":"This paper proposes using the k-means method for the controlled adjustment of the training sample for semantic image segmentation in the artificial vision of a smart refrigerator. To solve this problem, a new two-stage architecture for computer vision is proposed. In the proposed architecture, various sets of settings for optimizing the contrast of images are used to classify pixels according to their belonging to fragments of the studied image. Extensive experimental evaluation shows that the proposed method has critical advantages over existing work. Firstly, the obtained pixel classes can be directly clustered into semantic groups using k-means. Secondly, the method can be used for additional training of artificial intelligence in solving the semantic segmentation problem. The developers propose an approach to the correct choice of the number k of centroids to obtain good quality clusters, which is difficult to determine at a high k value. To overcome the problem of initializing the k-means method, an incremental k-means clustering method is proposed, which improves the quality of clusters to reduce the sum of squared errors. Comprehensive experiments have been carried out compared to the traditional k-means algorithm and its new versions to evaluate the performance of the proposed method on synthetically generated datasets and some real-world datasets.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129374377","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

Methodological support of the expert system in the problem of interaction of business ecosystems 专家系统在商业生态系统交互问题上的方法论支持

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-47-53

K. Simonov, V. Kuimov, M. V. Kobalinsky, S. V. Kirillova, A. Zotin, M. Kurako, A. Matsulev

引用次数: 0

Construction of digital twins based on knowledge bases for analyzing the functioning of spacecraft onboard systems 基于知识库的航天器机载系统功能分析数字孪生的构建

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-81-87

O. Isaeva

引用次数: 0

Threats model of information and technical interac tion in the integrated information protection system 综合信息防护系统中的信息威胁模型与技术交互

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-66-73

M. Buinevich, V. Pokussov, K. Izrailov

引用次数: 2

Solving classification problems for ordered alternatives on the example of application in ophthalmology 解决有序替代品的分类问题——以眼科应用为例

Informatization and communication Pub Date : 2021-04-01 DOI: 10.34219/2078-8320-2021-12-4-35-39

R. R. Islamova

{"title":"Solving classification problems for ordered alternatives on the example of application in ophthalmology","authors":"R. R. Islamova","doi":"10.34219/2078-8320-2021-12-4-35-39","DOIUrl":"https://doi.org/10.34219/2078-8320-2021-12-4-35-39","url":null,"abstract":"The aim of this study is to develop a solution to classification problems for ordered alternatives in the field of ophthalmology by the example of determining the stages of development of primary open-angle glaucoma. Materials and methods: the development of the method was carried out based on a detailed medical history of patients who were under observation at the Center for Laser Vision Restoration “Optimed”, Ufa. The database represents 793 unique patients. The main criterion for inclusion in the analysis was the diagnosis of “Primary open-angle glaucoma” (POAG) (H40.1) with the appropriate stage of the disease. The model was trained by the method of ordered regressions, in which the principle of reverse selection was used:__ all variables were included in the regression equation, and then statistically insignificant variables were excluded in the reverse order. The selection of the best model was made based on the minimum values of the information criteria Akaike, Schwartz. When analyzing the accuracy of the prediction, the conjugacy matrix was analyzed and the accuracy metric for each class was calculated. The overall accuracy metric of the classifier was defined as the weighted average of the volumes of each class represented in the test sample. Also, based on the ophthalmologists’ opinion, errors for each class were weighted by 0.9. Results: significantly associated with the stage of primary open-angle glaucoma disease were identified. The model best predicts the second stage of glaucoma. This can be justified by the size of the sample, since more than 40 percent of the sample included patients who were diagnosed with second-degree glaucoma. The overall weighted accuracy of the glaucoma stage classifier is 0.602. Conclusion: the developed solution allows you to speed up and improve the procedure for determining the stage of glaucoma but requires further improvement.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116780522","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

Modified algor ithm for searching regularities in large dimensional data based on genetic optimization 基于遗传优化的大维度数据规律搜索改进算法

Informatization and communication Pub Date : 2021-03-01 DOI: 10.34219/2078-8320-2021-12-3-67-72

V. Bova, D. Leshchanov

引用次数: 0

The method for modelling of big data storage content 大数据存储内容的建模方法

Informatization and communication Pub Date : 2021-03-01 DOI: 10.34219/2078-8320-2021-12-3-73-77

S. Kucherov

引用次数: 0