{"title":"Automatic pancreas segmentation using ResNet-18 deep learning approach","authors":"S. Kakarwal, Pradip M. Paithane","doi":"10.20535/srit.2308-8893.2022.2.08","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.08","url":null,"abstract":"The accurate pancreas segmentation process is essential in the early detection of pancreatic cancer. The pancreas is situated in the abdominal cavity of the human body. The abdominal cavity contains the pancreas, liver, spleen, kidney, and adrenal glands. Sharp and smooth detection of the pancreas from this abdominal cavity is a challenging and tedious job in medical image investigation. Top-down approaches like Novel Modified K-means Fuzzy clustering algorithm (NMKFCM), Scale Invariant Feature Transform (SIFT), Kernel Density Estimator (KDE) algorithms were applied for pancreas segmentation in the early days. Recently, Bottom-up method has become popular for pancreas segmentation in medical image analysis and cancer diagnosis. LevelSet algorithm is used to detect the pancreas from the abdominal cavity. The deep learning, bottom-up approach performance is better than another. Deep Residual Network (ResNet-18) deep learning, bottom-up approach is used to detect accurate and sharp pancreas from CT scan medical images. 18 layers are used in the architecture of ResNet-18. The automatic pancreas and kidney segmentation is accurately extracted from CT scan images. The proposed method is applied to the medical CT scan images dataset of 82 patients. 699 images and 150 images with different angles are used for training and testing purposes, respectively. ResNet-18 attains a dice similarity index value up to 98.29±0.63, Jaccard Index value up to 96.63±01.25, Bfscore value up to 84.65±03.96. The validation accuracy of the proposed method is 97.01%, and the loss rate value achieves up to 0.0010. The class imbalance problem is solved by class weight and data augmentation.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127561755","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}
A. Silvestrov, D. Zimenkov, Liudmyla Spinul, Vadym Svyatnenko
{"title":"An explanation of the J. Huber effect, which does not contradict the laws of physics and experimental research","authors":"A. Silvestrov, D. Zimenkov, Liudmyla Spinul, Vadym Svyatnenko","doi":"10.20535/srit.2308-8893.2022.2.11","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.11","url":null,"abstract":"An explanation of any physical phenomenon is essential, both theoretically and practically. The phenomenon discovered by the Austrian engineer J. Huber, the so-called “Huber effect,” posits that if an electric current passes through an already moving wheelset of wheels of a railroad train from one rail of a railway to another, an additional accelerating mechanical force arises in the direction of travel. From 1951 to the present, scientists have tried to explain and utilize this effect. A brief overview of these explanations and their contradictions in theory and experiment is given. However, they have become important for finding an explanation that does not contradict the laws of classical electrodynamics and experimental data.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125022804","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}
{"title":"Simulations of new COVID-19 pandemic waves in Ukraine and in the world by generalized SIR model","authors":"I. Nesteruk","doi":"10.20535/srit.2308-8893.2022.2.07","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.07","url":null,"abstract":"New waves of the COVID-19 pandemic in Ukraine, which began in the summer of 2021, and after holidays in the middle of October 2021, were characterized by the almost exponential growth of smoothed daily numbers of new cases. This is a matter of great concern and the need to immediately predict the epidemic dynamics in order to assess the maximum possible values of new cases, the risk of infection, and the number of deaths. The generalized SIR-model and corresponding parameter identification procedure were used to simulate and predict the dynamics of two new epidemic waves in Ukraine and one worldwide. Results of calculations show that new cases in Ukraine will not stop appearing before November 2022. The pandemic can continue for another ten years if the global situation with vaccination, testing, and treatment does not change.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122959263","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}
{"title":"Comparative analysis of the effectiveness of using fine-grained and nested parallelism to increase the speedup of parallel computing in multicore computer systems","authors":"Valerii Martell, Aleksandr Korochkin, O. Rusanova","doi":"10.20535/srit.2308-8893.2022.2.03","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.03","url":null,"abstract":"The article presents a comparative analysis of the effectiveness of using parallelism of varying granularity degrees in modern multicore computer systems using the most popular programming languages and libraries (such as C#, Java, C++, and OpenMP). Based on the performed comparison, the possibilities of increasing the efficiency of computations in multicore computer systems by using combinations of medium- and fine-grained parallelism were also investigated. The results demonstrate the high potential efficiency of fine-grained parallelism when organizing intensive parallel computations. Based on these results, it can be argued that, in comparison with more traditional parallelization methods that use medium-grain parallelism, the use of separately fine-grained parallelism can reduce the computation time of a large mathematical problem by an average of 4%. The use of combined parallelism can reduce the computation time of such a problem to 5,5%. This reduction in execution time can be significant when performing very large computations.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"303 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627944","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}
M. Zgurovsky, M. Kravchenko, K. Boiarynova, O. Ilyash, K. Kopishynska, I. Pyshnograiev
{"title":"Analysis of the impact of Russia’s military invasion of Ukraine on the energy independence of European countries","authors":"M. Zgurovsky, M. Kravchenko, K. Boiarynova, O. Ilyash, K. Kopishynska, I. Pyshnograiev","doi":"10.20535/srit.2308-8893.2022.2.01","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.01","url":null,"abstract":"The article presents an analysis of the problems of energy independence and energy supply of European countries, given the impact of Russia’s full-scale military invasion of Ukraine. This analysis is based on the Energy Freedom Index (Ief) developed by the authors, which aggregates sub-indices of energy potential, energy balance, and energy development. A rating of 142 countries of the world was formed according to the value of this index and the places of the EU countries and Ukraine in this rating were determined. Measures aimed at increasing the level of energy independence of European countries and Ukraine were analyzed. Diversification of supplies and accelerated transition to clean energy were proposed as the main measures. European countries have been clustered according to the level of economic and security losses due to the embargo on Russian energy resources. Four groups of countries have been identified in terms of their readiness to replace Russian energy resources and impose embargoes. The dynamics of the indicators of the energy freedom index and their dependence on Russian imports were analyzed, and measures to reduce this dependence were proposed.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599237","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}
{"title":"Topological optimization of a symmetric single-lap adhesive joint","authors":"S. Kurennov","doi":"10.20535/srit.2308-8893.2022.2.05","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.05","url":null,"abstract":"The profile optimization problem for layers overlapped with an interjacent adhesive layer is considered. The joint is considered according to the Volkersen model, according to which the base layers are considered as rods that act only in stress-strain, and the adhesive layer acts only in shear. The aim of the optimization is to design a joint structure of minimum mass under the strength restrictions for the adhesive layer and the minimally allowable base layer thickness. The base layers profile is described by a Fourier series expansion. The direct stress state problem for the joint of variable thickness rods is solved by the finite difference method. The optimization problem is reduced to the problem of determining Fourier series coefficients and the joint length. A genetic optimization algorithm was used. The model problem is solved.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125221039","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}
{"title":"Hybrid convolution network for medical images processing and breast cancer detection","authors":"Y. Zaychenko, M. Naderan, Galib Hamidov","doi":"10.20535/srit.2308-8893.2022.2.06","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.06","url":null,"abstract":"In this paper, the breast cancer detection problem using convolutional neural networks (CNN) is considered. The review of known works in this field is presented and analysed. Most of them rely only on feature extraction after the convolutions and use the precision of classification of malignant tumors as the main criterion. However, because of the huge number of parameters in the models, the time of computation is very large. A new structure of CNN is developed — a hybrid convolutional network consisting of convolutional encoder for features extraction and reduction of the complexity of the model and CNN for classification of tumors. As a result, it prevented overfitting the model and reduced training time. Further, while evaluating the performance of the convolutional model, it was suggested to consider recall and precision criteria instead of only accuracy like other works. The investigations of the suggested hybrid CNN were performed and compared with known results. After experiments, it was established the proposed hybrid convolutional network has shown high performance with sensitivity, precision, and accuracy of 93,50%, 91,60%, and 93%, respectively, and requires much less training time in the problem of breast cancer detection as compared with known works.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133055549","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}
{"title":"Development of a hybrid method for calculation of software complexity","authors":"T. Kazimov, T. Bayramova","doi":"10.20535/srit.2308-8893.2022.2.02","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.02","url":null,"abstract":"The use of code metrics allows software developers and project managers to evaluate various features of the software (to be built or already in existence), predict workload, determine software complexity and reliability, and quantify the quality of software systems being developed. Articles written in recent years have proposed various methods for solving this problem. However, there is still no very effective approach to measuring software complexity. This article provides a brief overview of existing software complexity metrics and proposes a new hybrid method for computing software complexity. The proposed hybrid method for evaluating software complexity combines the key features of the Halsted, Maccabe, and SLOC metrics and also allows for a more efficient assessment of complexity.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123689455","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}
{"title":"Research of autoencoder-based user biometric verification with motion patterns","authors":"Mariia Havrylovych, Valeriy Danylov","doi":"10.20535/srit.2308-8893.2022.2.10","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.10","url":null,"abstract":"In the current research, we continue our previous study regarding motion-based user biometric verification, which consumes sensory data. Sensory-based verification systems empower the continuous authentication narrative – as physiological biometric methods mainly based on photo or video input meet a lot of difficulties in implementation. The research aims to analyze how various components of sensor data from an accelerometer affect and contribute to defining the process of unique person motion patterns and understanding how it may express the human behavioral patterns with different activity types. The study used the recurrent long-short-term-memory autoencoder as a baseline model. The choice of model was based on our previous research. The research results have shown that various data components contribute differently to the verification process depending on the type of activity. However, we conclude that a single sensor data source may not be enough for a robust authentication system. The multimodal authentication system should be proposed to utilize and aggregate the input streams from multiple sensors as further research.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114458836","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}
{"title":"Modelling negative thermomechanical effects in reinforced road structures with thermoelastic incompatibility of coating and reinforcement materials","authors":"V. Gulyayev, V. Mozgovyy, N. Shlyun, L. Shevchuk","doi":"10.20535/srit.2308-8893.2022.2.09","DOIUrl":"https://doi.org/10.20535/srit.2308-8893.2022.2.09","url":null,"abstract":"The phenomena of the formation of local defects and cracks in asphalt concrete pavements of roads and bridges are most often observed in climatic zones with large temperature differences during their seasonal and daily changes. To a large extent, this is due to the heterogeneity of the thermomechanical properties of the materials of the coating layers and the base. To prevent these phenomena, reinforcing rods and meshes are introduced into the coating structure. In this work, using the theory of thermoelasticity, it is shown by the method of mathematical modelling that in cases of incompatibility of the thermomechanical characteristics of asphalt concrete materials and reinforcement, additional localized thermal stresses arise in its small vicinity, which, even at moderate temperatures, can reach critical values and lead to local defects and cracks. Since these defects are latent, they cannot always be detected in practice. The presented results of analytic calculation validated these conclusions. They can be used in both road building and composite design.","PeriodicalId":330635,"journal":{"name":"System research and information technologies","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132606110","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}