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Possible scientific supervisors |
Source of funding |
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Ultrasonic measurement and X-ray tomography for nondestructive testing, technical and medical diagnostic methods. Detection and characterization of defects in complex structures using artificial intelligent algorithms
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prof. dr. Liudas MAŽEIKA |
state non-funded |
Research Topic Summary.
The main scope of the research carried on at Prof. K. Baršauskas Ultrasound Research Institute is "Ultrasonic and X-ray methods for measurement of non-electrical quantities, non-destructive testing and technical diagnostics”. The efficiency and actuality of development of such methods are caused by rapid industrial and business evolution, which leads to the complexity of implementations of higher-level technologies. These technologies require innovative measurement and monitoring methods, enabling fast automatic decision-making. Ultrasonic measurements is one of the technology allowing a relatively higher degree of automation, however, it requires innovative, integrated solutions for the electronics and signal processing, the implementation of which is particularly complicated under operating conditions of high temperature and pressure, or the complicated structure of the objects itself. The research topic covers areas such as: ultrasonic imaging methods under extreme conditions; ultrasonic transducers for special applications (high temperature, air-coupled); Multi-dimensional x-ray and ultrasonic data fusion ultrasonic testing methods of composite materials; application of ultrasonic guided waves for non-destructive testing of planar and tubular engineering structures; ultrasonic monitoring methods of potentially dangerous objects; application of ultrasonic waves and X-ray for imaging and measurement of spatial properties of solid and liquid materials; ultrasonic measurement and imaging methods in biology and medicine; Application of artificial intelligence methods for analysis and classification of ultrasonic diagnostic images For more details please contact the supervisor of the topic.
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Ultrasonic measurement and X-ray tomography for nondestructive testing, technical and medical diagnostic methods. Application of artificial intelligence methods for analysis and classification of ultrasonic diagnostic images
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prof. dr. Liudas MAŽEIKA
prof. dr. Renaldas RAIŠUTIS |
state non-funded |
Research Topic Summary.
The main scope of the research carried on at Prof. K. Baršauskas Ultrasound Research Institute is "Ultrasonic and X-ray methods for measurement of non-electrical quantities, non-destructive testing and technical diagnostics”. The efficiency and actuality of development of such methods are caused by rapid industrial and business evolution, which leads to the complexity of implementations of higher-level technologies. These technologies require innovative measurement and monitoring methods, enabling fast automatic decision-making. Ultrasonic measurements is one of the technology allowing a relatively higher degree of automation, however, it requires innovative, integrated solutions for the electronics and signal processing, the implementation of which is particularly complicated under operating conditions of high temperature and pressure, or the complicated structure of the objects itself. The research topic covers areas such as: ultrasonic imaging methods under extreme conditions; ultrasonic transducers for special applications (high temperature, air-coupled); Multi-dimensional x-ray and ultrasonic data fusion ultrasonic testing methods of composite materials; application of ultrasonic guided waves for non-destructive testing of planar and tubular engineering structures; ultrasonic monitoring methods of potentially dangerous objects; application of ultrasonic waves and X-ray for imaging and measurement of spatial properties of solid and liquid materials; ultrasonic measurement and imaging methods in biology and medicine; Application of artificial intelligence methods for analysis and classification of ultrasonic diagnostic images For more details please contact the supervisor of the topic.
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| Interactive electronic systems. Energy Efficient Smart City Controllers Networks for Remote Monitoring |
prof. dr. Darius ANDRIUKAITIS |
state non-funded |
| Interactive electronic systems. Electronic System of Ultrapenetrative Disinfection and Probiotics Colonization |
doc. dr. Mindaugas ŽILYS |
state non-funded |
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Application of electrostatic microstructures for microfluidic control
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prof. dr. Darius VIRŽONIS |
state non-funded |
Research Topic Summary.
Integration of electrostatic microstructures, such as capacitive micromachined ultrasound transducers (CMUT), to the microfluidic and microchannel systems is one of the technologies, which are used in the most advanced biosensors. In the recent works it was shown that by using of the CMUT structures, one can manipulate the microfluids in various regimes while keeping the minimal dimensions of the biosensors and simultaneously performing detection of the biomolecules. The main task of the proposed topic is detailed investigation of the interaction between the CMUT structure and the structures of the microchennels and biosensor. It is very important to gain the new knowledge confirming the informativity of the biosensing signals. It is expected that at the end of the PhD study term the student will propose original and autentic solutions for digital modeling, which will help to explore the dynamic properties of the microelectromechanical structures, will formulate related scientific hypotheses, will improce existing knowledge about excitation and propagation of Scholte type waves in the microchannel environment of the biosensors.
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Research of Non-invasive Remote Error Monitoring Method for Electrical Energy Meters
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prof. dr. Žilvinas NAKUTIS |
state non-funded |
Research Topic Summary.
Currently, metrological in-service surveillance of electrical energy smart meters is implemented by applying sampling verification. The verification results of a group of sampled meters is used to judge regarding the validity of declared metrological characteristics of all batch of meters at the end of verification period. In the last years, more and more evidence emerges indicating that errors of smart meters’ drift not only due to the aging phenomena that is well described by probabilistic models but also due to reliability issues of building components and features of electrical loads. One way to address the increasing requirements of customer economical protection is to increase the sampling size for verification. This inevitably rises the cost of metrological supervision. Alternative opportunity would be to implement remote meter error in-service monitoring. However, a scientific problem exists which is related to the lack of knowledge about the achievable uncertainty of error estimate in real distribution grids using remote techniques. Also, it is not known, how statistical verification sampling size could be influenced when the uncertainty of available information from in-service monitoring is similar to meter’s accuracy class. The goal of the research is to approve the assumption that the error of the remote meter under test can be estimated using remotely connected reference meter in distribution grid and to assess estimation uncertainty of the method. The expected result is a new non-invasive remote meter error monitoring method utilizing synchronized distributed power measurement in electrical grid. Requirements for synchronization precision and data delivery channel will be defined and their compatibility with capabilities of advanced measurement infrastructure (AMI) interconnecting smart meters will be verified.
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Optimal control of sensor-less electric drive for bio-engineering application
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prof. dr. Renaldas URNIEŽIUS |
state non-funded |
Research Topic Summary.
The aim of this project is to develop optimal control of sensor-less electric drive for bioengineering application. The programming control will be based on the noninvasive oxygen uptake rate feedback from the cell culture (microbial, mammalian or stem cells). The developed biotechnological process optimal control algorithms and systems would represent new results in bio-process state estimation and control practice. New knowledge in the soft sensors development and applications will be obtained and the software technologies for realization of the soft sensor systems will be developed and tested. KTU Dept. of Automation, as a project partner, is currently performing a scientific research grant “Substrate continuous dosing device for programming control of bioprocesses” (No. 01.2.2- LMT-K-718-03-0039), under which there are opportunities for new researchers to simultaneously perform their research and participate in the compensated application development for biopharmaceutical industry.
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