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Syed Haider Abbas,Jung-Ryul Lee,Zaeill Kim 한국항공우주학회 2016 International Journal of Aeronautical and Space Sc Vol.17 No.4
Ultrasonic propagation imaging (UPI) has shown great potential for detection of impairments in complex structures and can be used in wide range of non-destructive evaluation and structural health monitoring applications. The software implementation of such algorithms showed a tendency in time-consumption with increment in scan area because the processor shares its resources with a number of programs running at the same time. This issue was addressed by using field programmable gate arrays (FPGA) that is a dedicated processing solution and used for high speed signal processing algorithms. For this purpose, we need an independent and flexible block of logic which can be used with continuously evolvable hardware based on FPGA. In this paper, we developed an FPGA-based ultrasonic propagation imaging system, where FPGA functions for both data acquisition system and real-time ultrasonic signal processing. The developed UPI system using FPGA board provides better cost-effectiveness and resolution than digitizers, and much faster signal processing time than CPU which was tested using basic ultrasonic propagation algorithms such as ultrasonic wave propagation imaging and multi-directional adjacent wave subtraction. Finally, a comparison of results for processing time between a CPU-based UPI system and the novel FPGA-based system were presented to justify the objective of this research.
Abbas, Syed Haider,Truong, Thanh Chung,Lee, Jung-Ryul Informa UK (Taylor Francis) 2017 Advanced composite materials Vol.26 No.suppl1
<P>This paper presents the implementation of an ultrasonic energy mapping (UEM) method in a field programmable gate array (FPGA)-based processing board. This method is integrated into an ultrasonic propagation imaging (UPI) system for real-field application. UEM method involves two-dimensional Fourier transform and wavenumber filtering to capture the energy scattering waves. Performing multi-dimensional Fourier transform in FPGA is a challenging task because it cannot fit into a single FPGA chip, and therefore, external memory is required to handle a large amount of data. The row-column decomposition method is used to perform 2D Fourier transform using two DDR3 SDRAM memories. Additionally, a source removal function is added into the system to highlight the damage when high energy at the source location occurs. The UPI system was applied for inspection of a composite wing box with impact damages. The UEM results showed that a damage of 20x20mm(2) was detected successfully in the presence of the source inside the scan area. Moreover, the UEM result is produced in less than 5 s for 57,600 points, which is practical for a real-world, non-destructive testing application.</P>
Abbas, Syed Haider,Lee, Jung-Ryul,Kim, Zaeill The Korean Society for Aeronautical and Space Scie 2016 International Journal of Aeronautical and Space Sc Vol.17 No.4
Ultrasonic propagation imaging (UPI) has shown great potential for detection of impairments in complex structures and can be used in wide range of non-destructive evaluation and structural health monitoring applications. The software implementation of such algorithms showed a tendency in time-consumption with increment in scan area because the processor shares its resources with a number of programs running at the same time. This issue was addressed by using field programmable gate arrays (FPGA) that is a dedicated processing solution and used for high speed signal processing algorithms. For this purpose, we need an independent and flexible block of logic which can be used with continuously evolvable hardware based on FPGA. In this paper, we developed an FPGA-based ultrasonic propagation imaging system, where FPGA functions for both data acquisition system and real-time ultrasonic signal processing. The developed UPI system using FPGA board provides better cost-effectiveness and resolution than digitizers, and much faster signal processing time than CPU which was tested using basic ultrasonic propagation algorithms such as ultrasonic wave propagation imaging and multi-directional adjacent wave subtraction. Finally, a comparison of results for processing time between a CPU-based UPI system and the novel FPGA-based system were presented to justify the objective of this research.
Unique pressure sensitive carbon nanotubes based polymer nanocomposites
( Syed Muhammad Imran Hassan ),( Shao Godlisten Namwel ),박성수,( Haider Muhammad Salman ),( Nadir Abbas ),전순정,( Manwar Hussain ) 한국공업화학회 2015 한국공업화학회 연구논문 초록집 Vol.2015 No.1
In this study we have synthesized unique flexible pressure sensitive nanocomposites prepared by solution mixing method by adding multi walled carbon nanotubes (MWCNT) in the thermoplastic urethane (TPU) along with poly(methyl methacrylate) (PMMA) beads of different sizes i.e. 5 μm, 10 μm and 20 μm. The electrical and thermal conductivities of the nanocomposites were studied under different applied pressures. Electrical response of the nanocomposites under different applied pressure demonstrated that these nanocomposites are suitable to be used as pressure sensing materials since they show repeatability in their electrical response when external pressure was applied on them repeatedly.
Jaffry Syed Shan,Syed Haider Abbas,Donghoon Kang,Jungryul Lee 한국비파괴검사학회 2015 한국비파괴검사학회지 Vol.35 No.6
Recently, wave propagation imaging based on laser scanning-generated elastic waves has been intensively used for nondestructive inspection. However, the proficiency of the conventional software based system reduces when the scan area is large since the processing time increases significantly due to unavoidable processor multitasking, where computing resources are shared with multiple processes. Hence, the field programmable gate array (FPGA) was introduced for a wave propagation imaging method in order to obtain extreme processing time reduction. An FPGA board was used for the design, implementing post-processing ultrasonic wave propagation imaging (UWPI). The results were compared with the conventional system and considerable improvement was observed, with at least 78% (scanning of 100 × 100 ㎟ with 0.5 ㎜ interval) to 87.5% (scanning of 200 × 200 ㎟ with 0.5 ㎜ interval) less processing time, strengthening the claim for the research. This new concept to implement FPGA technology into the UPI system will act as a break-through technology for full-scale automatic inspection.
Artificial Intelligence (AI)-based Deep Excavation Designed Program
유충식,HAIDER SYED AIZAZ,Qaisar Abbas,양재원 한국지반신소재학회 2018 한국지반신소재학회 논문집 Vol.17 No.4
This paper presents the development and implementation of an artificial intelligence (AI)-based deep excavation induced wall and ground displacements and wall support member forces prediction program (ANN-EXCAV). The program has been developed in a C# environment by using the well-known AI technique artificial neural network (ANN). Program used ANN to predict the induced displacement, groundwater drawdown and wall and support member forces parameters for deep excavation project and run the stability check by comparing predict values to the calculated allowable values. Generalised ANNs were trained to predict the said parameters through databases generated by numerical analysis for cases that represented real field conditions. A practical example to run the ANN-EXCAV is illustrated in this paper. Results indicate that the program efficiently performed the calculations with a considerable accuracy, so it can be handy and robust tool for preliminary design of wall and support members for deep excavation project.