The spatial distribution of meteoroids or cometary debris along the orbit of the Earth is investigated by analyzing the meteoric records in the Chronicle of the Koryo dynasty (918-1392) which is called Koryosa. Sporadic meteors in this period show the seasonal variation in number, which is similar to the current meteors. We also found that there are a few spikes showing large accumulation of records around the same dates. We regard these spikes as meteor showers in the Koryo period. We compared the dates of meteor showers with those compiled from the historical records around the world including Korea, Japan, China, Arab, and European countries. We discovered three prominent showers and four weak showers. The prominent ones are the Leonids, the Perseids, and the Aquarids and the Orionids pair. The last pair is the remnants of Halley's comet. The astronomical records written in the history book of the Koryo dynasty are turned out to be accurate and written in a steady manner. We can also see that those records can be useful to contribute the development of modern astronomy and astrophysics.

This paper proposes an automated crack evaluation technique for a high-rise bridge pier using a climbing robot. The proposed technique enables to automatically detect and quantify the bridge pier cracks even where cannot easily access by human for visual inspection. To achieve it, high quality images are obtained by scanning the vision cameras embedded on the climbing robot along the bridge pier surface. Then, a feature extraction-based image stitching algorithm is newly developed and applied for establishing the entire region of interest (ROI) images. The ROI images are then processed with a semantic segmentation algorithm for automated crack detection. Finally, the detected cracks are precisely quantified by a crack quantification algorithm. The proposed technique is validated using in-situ test data obtained from Jang-Duck bridge located at Gangneung city, South Korea. The test results reveal that the proposed technique successfully evaluate the bridge pier cracks with precision of 90.92 % and recall of 97.47 %.