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The purpose of this study is to develop a reconstruction and measurement system for data analysis using ultrasonic transmission tomography. The problem of reconstruction from the projection is encountered in practical implementation, which consists in reconstructing an image that is an estimation of an unknown object from a finite set of projection data. Reconstructive algorithms used in transmission tomography are based on linear mathematical models, which makes it necessary to process non-linear data into estimates for a finite number of projections. The application of transformation methods requires building a mathematical model in which the projection data forming the known and unknown quantities are functions with arguments from a continuous set of real numbers, determining the function describing the unknown quantities sought in the form of inverse relation and adapting it to operate on discrete and noisy data. This was done by designing a tomographic device and proprietary algorithms capable of reconstructing two-dimensional images regardless of the size, shape, location or number of inclusions hidden in the examined object.

The application consists of a device and measuring sensors, as well as proprietary algorithms for image reconstruction. Ultrasonic transmission tomography makes it possible to analyse processes occurring in an object without interfering with the examined object. The proposed solution uses algorithms based on ray integration, the Fermat principle and deterministic methods. Two applications were developed, one based on C and implemented on the embedded device, while the other application was made in Matlab.

Research shows that ultrasonic transmission tomography provides an effective analysis of tested objects in closed tanks.

In the presented technique, the use of ultrasonic absorption wave has been limited. Nevertheless, the effectiveness of such a solution has been confirmed.

The presented solution can be used for research and monitoring of technological processes.

Author’s tomographic system consisting of a measuring system and image reconstruction algorithms.

In this explorative study, the authors aim to contribute to the literature on socio-economic integration and migrant entrepreneurship by conducting an investigation into the migration journeys of Ukrainian migrants developing entrepreneurial activities in Krakow, Poland. The main research question for this study is as follows: how do migrant entrepreneurs establish their businesses in the new host country context? The authors have undertaken a qualitative comparative study, adopting an interpretivist paradigm involving 32 interviews with migrants of Ukrainian descent in Kraków and other cities, who are engaging in entrepreneurial activity. The findings reveal the critical importance of diaspora networks in business foundation and development, especially the linkages between the Ukrainians and other migrants from other former Soviet countries, a finding in line with Rodgers, Vershinina, Williams, and Theodorakopoulos’s (2019) findings from a study of migrants in the UK. The authors also demonstrate how as a result of the worsening economic and political climate in Ukraine, many businesses are being transferred to Poland.

Examines the sixteenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.