This article addresses the security of personal data in information systems and a method for protecting such data from leaks: storing it in a depersonalized form. A subject-object model is proposed that formalizes the processes of data generation, transfer, and processing with regard to the interaction between subjects and objects of the information system. Within this model, the main depersonalization methods are analyzed, including identifier substitution, modification of data structure and semantics, decomposition, and shuffling. For each method, sequences of operations are constructed to demonstrate their application in the context of data flows and access control. It is shown that most approaches are implemented with the involvement of a trusted intermediary, which enables the concept of “one-sided pseudonymization.” Special attention is given to the classification of methods according to the existence and accessibility of de-anonymization mechanisms, which makes it possible to distinguish three levels of depersonalization – from pseudonymization to full anonymization. The proposed approach provides a higher level of abstraction in the analysis of data protection methods and contributes to the development of unified solutions in the field of information security.
Magnetic soft robots have recently become a promising technology that has been applied to minimally invasive cardiovascular surgery. This paper presents the analytical modeling of a novel multi-section magnetic soft robot (MS-MSR) with multi-curvature bending, which is maneuvered by an associated collaborative multirobot navigation system (CMNS) with magnetic actuation and ultrasound guidance targeted for intravascular intervention. The kinematic and dynamic analysis of the MS-MSR’s telescopic motion is performed using the optimized Cosserat rod model by considering the effect of an external heterogeneous magnetic field, which is generated by a mobile magnetic actuation manipulator to adapt to complex steering scenarios. Meanwhile, an extracorporeal mobile ultrasound navigation manipulator is exploited to track the magnetic soft robot’s distal tip motion to realize a closed-loop control. We also conduct a quadratic programming-based optimization scheme to synchronize the multi-objective task-space motion of CMNS with null-space projection. It allows the formulation of a comprehensive controller with motion priority for multirobot collaboration. Experimental results demonstrate that the proposed magnetic soft robot can be successfully navigated within the multi-bifurcation intravascular environment with a shape modeling error [Formula: see text] and a tip error of [Formula: see text] under the actuation of a CMNS through in vitro ultrasound-guided vasculature interventional tests.
The relevance of research in Entrepreneurship is undeniable, especially for the Republic of Moldova. Almost all enterprises are small and medium. In the previous two years, only one percent of enterprises were large. During making decisions, forecasts are needed at the micro level (enterprise) and the macro level (country). The subject of this study is the methods of forecasting the entrepreneurship development, including small and medium-sized enterprises. The purpose of the research is to develop a new forecasting model for the key indicators that reflect the entrepreneurship activities in the Republic of Moldova, and one of the tasks is to analyze the forecasting methods to identify the advantages and disadvantages of these methods. The EViews program was used in developing the model and calculating medium-term forecasts. According to the results, in the next three years 2024-2026, the percentage of growth in income from sales of small and medium-sized enterprises varies in the range of 6.7-7.9% annually, and financial results before tax — 6.8-8.0%.
Maedeh Alizadeh, Mohammad Reza Motadel, Navid Nezafati
Purpose: Data Quality plays a vital role in the performance and success of an organization and can be compared to oxygen for human beings. Therefore, maintaining data quality helps organizations in low operating costs and increment in revenue. If data has not been offeredon time and adequate to each department’s quality expectation, such organization may not be able to make successful decisions. First step of data quality enhancement is the acquaintance of data quality dimensions. Identifying and grouping various dimensions of data quality allow experts to use data quality enhancement tools and methods on information improvement processes.Methodology: The present study is applied in terms of purpose and analytical-survey research. In this paper, to enhance the level of data quality of university portals, users' requirements (voices) of a university portal have been prioritized using several data quality-related questionnaires by combining Kano & AHP techniques. A designed matrix of a 4-step QFD has been formed, which started with the users' requirements and ended with design methodologies.Findings: As a result of combining Kano & AHP techniques, basic requirements have higher priority than others. It has been defined in this paper that entering data in various formats is the most important users' requirement. Based on QFD analysis, XML & HTML are more proper and useful in comparison to other platforms and programming languages to improve the level of data quality and fulfill users' requirements. In addition, flexibility could be the most important Engineering Characteristics parameter in designing a portal. HVR software can perform a reliable and secure platform to prepare rapid and optimized data integration.Conclusion: The Quality Function Deployment method could be an appropriate solution to solve problems regarding data quality in the condition that it consists of programming to the designing process.
In this work, magneto-optical properties of a dichroic cholesteric liquid-crystal layer are theoretically investigated at large values of the magneto-optical parameter. Features of all solutions of the dispersion equation are studied in detail. Peculiarities of the reflection, transmission, absorption spectra and the influence of dielectric boundaries on them are investigated. Specific properties of the localization of light and magnetically induced transparency in dichroic cholesteric liquid crystals are considered. The study of the light localization features showed that the presence of an external magnetic field, as well as the presence of dielectric boundaries, led to the appearance of oscillations in the dependence of the intensity of the layer-confined energy on the coordinate of the axis directed along the cholesteric axis. A strong influence of the refractive index of isotropic half-spaces adjacent to a dichroic cholesteric liquid crystal layer on the optics of the layer under consideration is shown. In particular, magnetically induced transparency and diffraction transmission appear only at certain intervals of the refractive index of isotropic half-spaces.
The Seeing Avant-garde [Widzenie awangardy] volume edited by Agata Stankowska, Marcin
Telicki and Agata Lewandowska is a collection of the articles about the avant-garde update.
Written by many researchers, the articles show a wide scale of research on the contemporary
avant-garde manifested in literature, art, music, theatre and cybernetics. As an extremely valuable
publication, the book in question concentrates on the new and original methods of comparative
research, marks new reading directions, and presents contemporary problems of aesthetics.
Marcel Fajkus, Michael Fridrich, Jan Nedoma
et al.
This article introduces fiber Bragg grating (FBG) system for monitoring selected traffic flow parameters in urban areas. The system is able to monitor traffic density or speed of cars driving in single lane. The proposed system consists of five Bragg gratings encapsulated in Polydimethylsiloxane polymer and is characterized by easy and inexpensive installation in the milled upper layer of the road covered with an asphalt mixture. The results of first operational tests presented in this study include 3978 passing vehicles of various specifications. The system's vehicle detection success rate is 99.62%. And further, a mean absolute error 1.35 kph and a relative error 2.62% when measuring vehicle speed.
Zernike moments (ZMs) are very effective orthogonal rotation invariant moments. Conventionally, the magnitudes of ZMs are used as feature descriptors and the Euclidean distance is used as a classifier. Recently, a few classifiers based on ZM magnitude and phase have been developed which are reported to be very effective in pattern matching problems. One such a recently developed similarity measure, known as optimal similarity measure, is known to provide very good performance over the ZM magnitude-based Euclidean distance measure in pattern recognition problems, especially under noisy conditions. In this paper, we investigate the conventional magnitude-based similarity measure and the new similarity measures including the optimal similarity measure and compare their performance on segmented handwritten characters and numerals. It is observed that the performance of optimal similarity measure is far better than all other similarity measures. Its performance is very much better than other similarity measures even under very high noisy condition. However, it is slow owing to the optimization of the process involved in its computation. Therefore, we also propose a fast algorithm for its computation and reduce its time complexity. Detailed experimental results are provided to support the above observations.