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This article describes the design and application of a computer-based system for simultaneously teaching Korean, English and Japanese languages in a classroom setting using knowledge visualization techniques to show the relationships between vocabularies, grammars and meanings. The system consists of a knowledge database of Korean, English, and Japanese which is then uploaded into the teaching module. Visualizations of this information in the form of knowledge maps based upon generally accepted rules of knowledge map can then be displayed and contrasted using the system interface to enter user queries. The system is then tested in a blended classroom of native Korean speakers. Data on student learning experiences are then gathered by means of a questionnaire and analyzed in order to assess the overall success of knowledge acquisition in this setting. Our findings show that this system evokes a personal initiative in the learning process, facilitates communication between teachers and learners, and supports the rapid acquisition of multilingual knowledge.

Objective: Electrical impedance tomography (EIT) is a technique to measure electrical properties of tissue. With the progress of modern integrated circuits and microchips, EIT instrumentation becomes an active research area to improve all aspects of device performance. Plenty of studies on EIT hardware have been presented in prestigious journals. This study explores publications on EIT hardware to identify the developing hotspots and trends. Method: Publications covering EIT hardware on the Web of Science Core Collection (WoSCC) database from 1989 to 2021 were collected for bibliometric analysis. CiteSpace and VOS viewer were used to study the characteristics of the publications. Main results: A total of 592 publications were analyzed, showing that the number of annual publications steadily increased. China, England, and South Korea were the most prolific countries on EIT hardware publications with productive native institutions and authors. Research topics spread out in "bio-electrical impedance imaging", "hardware optimization", "algorithms" and "clinical applications" (e.g., tissue, lung, brain, and oncology). Hardware research in "pulmonary" and "hemodynamic" applications focused on monitoring and were represented by silhouette recognition and dynamic imaging while research in "tumor and tissue" and "brain" applications focused on diagnosis and were represented by optimization of precision. Electrode development was a research focus through the years. Imaging precision and bioavailability of hardware optimization may be the future trend. Conclusion: Overall, system performance, particularly in the areas of system bandwidth and precision in applications may be the future directions of hardware research. [ABSTRACT FROM AUTHOR]

Medical electrical impedance tomography (EIT) reconstruction algorithms are approximately forty years old and are now being used to treat patients. At the same time, many advanced concepts are still active research areas, and literature regarding EIT algorithms has been presented in different professional journals and scientific conferences. Bibliometrics analysis method is used to assess the 30 years of scientific output and activity regarding EIT algorithm research from a global perspective, covering global publications, cooperation between countries, and clustering of keywords. 2467 research articles, reviews, letters, and proceeding papers published from 1987 to 2021 in English on EIT reconstruction algorithm were analyzed. Literature statistics show that the worldwide growth trend is rising, and global geographic distribution of publications in this field indicates that USA, South Korea, and China ranked as the top three prolific contributors in terms of EIT algorithm. "inverse problem" "regularization""electrode models" were research focus. Overall, EIT algorithms bibliometric research provides the current hotspots and future directions of algorithm research. [ABSTRACT FROM AUTHOR]