February 2023
Models of remote control of an unmanned vessel movement
2022, vol.14 , no.3, pp. 79-88
Article [2022-03-08]
Algorithms for remote control of the vessel's movement using the data of the global satellite positioning system and ensuring the achievement of a given goal with the required accuracy have been developed and investigated. The algorithms take into account the accidental effects on the vessel of external factors that determine the deviation of the vessel from the designated course.
V. E. Bolnokin, A. F. Kaperko, S.A. Sorokin. Models of remote control of an unmanned vessel movement. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 79-88.
Smart health system using stacking ensemble classification algorithm
2022, vol.14 , no.3, pp. 67-78
Article [2022-03-07]
Data Mining is a powerful technology and is used to identify useful and understandable patterns by analyzing large sets of data. It gives a detailed view of various disease predictions. It will be more useful especially in pandemic times. During these days, doctors are in the front line and battling with the COVID-19 virus. It will be hard for people to immediately get medical guidance or appointments. Our proposed system, the smart health application will come in handy at these times. The system allows people to get medical guidance for their health issues. Also, the system is fed with symptoms and the disease-related with it which will give high accuracy for disease prediction. Our model aims to use Stacking Ensemble Classification Algorithms to give high accuracy and correct prediction than Naive Bayes, Random Forest, Support Vector Machine, K – Nearest Neighbor, Decision Tree, Logistic Regression for different types of 149 diseases. The GUI is designed which can be used easily to predict the different types of disease accurately.
Sathya D., Primya T., Vinothini S., Priya J., Jagadeesan D.. Smart health system using stacking ensemble classification algorithm. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 67-78.
The method of accounting for scattering errors by the method of fuzzy sets in strength models of radio elements mounted on printed circuit boards of electronic devices
2022, vol.14 , no.3, pp. 59-66
Article [2022-03-06]
The problem of taking into account uncertainty factors in the form of variations of the initial physical, mechanical and geometric parameters in the mathematical modeling of resonant elastic vibrations of radio elements attached to circuit boards at the terminals is considered. The aim of the study is to obtain updated data on the values of the output parameters of the output operation time in the mode of occurrence of resonant oscillations and the number of cycles of resonant oscillations before destruction. To solve the problem under consideration, an approach is proposed based on the introduction of fuzzy-interval descriptions for its non-contrasting initial parameters. As a result of the implementation of the developed method in the form of decompositions over α-level sets, representations are obtained for calculating fuzzy-multiple endogenous parameters of the model in relation to various forms of resonant vibrations of radio elements in the case of rigid pinning of the pins on the board.
V. E. Bolnokin, A. F. Kaperko, S. A. Sorokin, V. I. Storozhev, S. V. Storozhev. The method of accounting for scattering errors by the method of fuzzy sets in strength models of radio elements mounted on printed circuit boards of electronic devices. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 59-66.
Algorithmization of image processing for identification of dynamic objects
2022, vol.14 , no.3, pp. 47-58
Article [2022-03-05]
Modern monitoring and operational decision-making systems based on image series have become widely used for a wide variety of applications. At the stage of identification of graphic images, the affiliation of the found dynamic object to the class of objects of interest is established on the basis of a comparative analysis of its contours with a given template. The identification process is considered and the algorithm of machine graphics is given, including, firstly, image preprocessing using the Gauss smoothing operator, secondly, the search for object boundaries using the Kenny operator, thirdly, image post-processing for interpolation of the obtained discontinuous contours of the object using mathematical morphology operations and local processing of a set of contours.
O. Ja. Kravets, I. A. Aksenov, P. A. Rahman, Yu. V. Redkin, I. V. Atlasov, O. Yu. Zaslavskaya. Algorithmization of image processing for identification of dynamic objects. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 47-58.
Binding aerial images obtained by an unmanned aircraft vehicle to other images and maps
2022, vol.14 , no.3, pp. 37-46
Article [2022-03-04]
The development of surveillance instruments allows obtaining images of the one and same object or area of earth surface that have been taken at different times and with different sensors. The analysis of such images requires the use of geometric transformation to align them. In the paper the use of affine transformation for synthesized aperture radar (SAR) images aligning and the use of projective transformation to register an image to the coordinate system of a map is studied. Aligning of images to maps allows using a map of the area as a reference image instead an orthoimage of this area.
Teodora Petrova, Zhivo Petrov. Binding aerial images obtained by an unmanned aircraft vehicle to other images and maps. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 37-46.
Development of an algorithm for calculating the stability of a ship, applied in OBSS
2022, vol.14 , no.3, pp. 25-36
Article [2022-03-03]
The paper presents an algorithm of the developed on board stability system (OBSS). The OBSS covers the new requirements for damage stability on tankers. The methods for calculations provide the opportunity to build the hydrostatic and the cross curves at a given condition. The program includes a module for direct construction of the limited curves for the maximum allowable applicable values of the center of gravity KG and the minimum allowable values of the initial metacentric height GM. In addition, a range of allowable values for GM is defined, which guarantee smooth fluctuating movements and minimize the kinetic symptoms.
Emiliya Koleva, Mariya Nikolova. Development of an algorithm for calculating the stability of a ship, applied in OBSS. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 25-36.
Statistical analysis of empirical network traffic data from program monitoring
2022, vol.14 , no.3, pp. 15-24
Article [2022-03-02]
Information servicing of remote client requests in a network environment is highly dependent on the regularity of the traffic and its parameters. With the development of modern digital technologies, the peculiarities of organizing processes to achieve high functionality and good performance with low loss of time and resources are increasing. This necessitates conducting adequate experiments for reliable traffic investigation and optimization of distributed service. Different approaches are presented in the literature, mainly aimed at model research and measurement (monitoring) of real data for observed parameters. The paper proposes a combined approach to combine program monitoring with statistical analysis of the measured data to ensure better accuracy of the obtained estimates for selected traffic parameters. A justification of the chosen approach is made on the basis of a brief summary of traffic
features and a discussion of recommendations for efficient distributed service. Program monitoring was carried out, and the accumulated empirical data from it are a subject of statistical analysis and the obtained evaluations are summarized.
Radi Romansky. Statistical analysis of empirical network traffic data from program monitoring. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 15-24.
Efficient feature aware machine learning model for detecting fraudulent transaction in streaming environment
2022, vol.14 , no.3, pp. 3-14
Article [2022-03-01]
The emergence of the internet and social streaming environment makes users circulate private multimedia data with similar people across global. Taking benefits from these applications; it becomes much easier for the spammer to attack digitally. As a result, an effective intrusion detection system is required. In this paper, an efficient feature extraction and selection method addressing class imbalance problems for detecting fraudulent links in a streaming environment is presented. Here an improved feature-aware machine learning-based classification algorithm for detecting fraudulent transactions in a streaming environment is presented. The results are compared over the existing supervised classification methodologies for validating the proposed methodology using standard datasets with serious class imbalance issues.
Arati Shahapurkar, S. F. Rodd. Efficient feature aware machine learning model for detecting fraudulent transaction in streaming environment. International Journal on Information Technologies and Security, vol.14 , no.3, 2022, pp. 3-14.