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Tourism Notes on the Destinations in Middle and South France : as well as in the Neighborhood
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Study on Qian Daxin’s Old Chinese Phonology
Full text linkThis paper analyzes Qian Daxin’s theory on historical phonology, and points out its characteristics in the context of development of Chinese historical phonology or in comparison with the studies of other scholars.
Chapter 1 describes an overview of Qian Daxin's theory on historical phonology, and introduces the evaluation by later scholars and the characteristics. Chapter 2 discusses the characteristics of his Zhuanyin theory, which is the most important concept in his theory, comparing it with theory of dialect sounds by other scholars, and considers why the Zhuanyin concept was necessary. Chapter 3 considers his attitude toward phonology of Six Dynasties or later and how he used it. Chapter 4 describes how his theory developed later, and finally summarizes this paper
2023年度事業報告
No full text主催 和歌山大学紀伊半島価値共創基幹・和歌山県立粉河高等学校
事業名 高大地域連携事業 : KOKÔ塾まなびの郷 : ジョイント・フォーラム
（生涯学習・リカレント教育推進室）事業名 和歌山大学生涯学習市民講座事業名 防災士養成講
Invesigathion of hidden philosophies behind in the construction design of the Hokyoin Pagoda standing in Nachisan Seigantoji Temple : Compared with the case of Oyamazumi Shrine on Omishima Island on the Shimanami Kaido
No full textPossibility of Using Generative AI in Music Appreciation Class : Elementary School Music Subject Based on Fact-Checking AI-generated Content
Full text link本研究では，音楽鑑賞授業における生成 AI の活用可能性について考察するため，小学校音楽科におけるChatGPT-3.5を用いた鑑賞授業の実施とその検討を行った。授業では，ChatGPTが示した楽曲の情報のファクト・チェックを前提として鑑賞活動を行い，下学年の児童に向けた楽曲の紹介文を作成する活動を実施した。本授業実践の振り返りより，生成 AI の活用可能性として，音楽鑑賞時の視点の明確化，鑑賞の対象となる楽曲への関心の広がりの促進，メディア・リテラシーの育成，自らの感受や価値等を相対化するツールとしての位置付け，の四点が見出された。This study aims to identify the possibility of using generative artificial intelligence （AI） in music appreciation class. Reports indicate that children are overly influenced by the non-facts of generative AI. In this study, the author conducted a music appreciation class in an elementary school based on fact-checking content regarding music presented by Chat Generative Pre-trained Transformer （ChatGPT）. Subsequently, the children wrote an introduction to the music they appreciated. The results indicate the following possibilities for using generative AI : clarification of viewpoints when appreciating music, promotion of interest in music to be appreciated, development of media literacy, and positioning AI as a tool for relativization one’s own perceptions, values, etc
U ガタ Transformer コウゾウ ノ セイセイキ オ モツ GAN ニ ヨル ヤカン ウテキ ガゾウ カラ ノ ウテキ ジョキョ シュホウ ト ガクシュウヨウ ヤカン ウテキ ガゾウ ノ セイセイホウ ノ テイアン
No full textIn this paper, we propose a method for raindrop removal from rain-drop coated images acquired during nighttime rainy weather. To the best of our knowledge, no previous deep learning-based method for raindrop removal has been developed for nighttime images. This is because it is difficult to identify raindrop regions in images acquired at night, making it difficult to remove raindrops, and there is no nighttime raindrop image dataset to train a deep learning neural network.To solve these problems, we propose a method to create nighttime raindrop images from daytime images without raindrops by using a deep learning based semantic segmentation method and a method used in the field of computer graphics. In order to improve the ability to identify raindrop regions, we propose a GAN architecture that incorporates the U-shaped Transformer structure into the GAN generator. In addition, we propose to apply histogram flattening to the input images as a preprocessing step during training so that the GAN can be trained stably on a nighttime raindrop image dataset. Experimental results are presented to verify the effectiveness of the proposed method.本論文では，セマンティックセグメンテーション手法やCG分野で利用されている手法を用いて，雨滴が付着していない昼間画像から夜間雨滴画像を作成する手法を提案する．また夜間雨天時に車載カメラから取得した雨滴が付着した画像から雨滴除去を行う深層学習法を提案する．提案法の有効性を確認するために実験結果を示す
