17062 research outputs found
Sort by
The Use of Japanese Language and ICT by Vietnamese Residents : Focused on COVID-19 Circumstances
Get PDF新型コロナウイルス感染症により，ICT（Information and Communication Technology）の活用の重要性は一層高まった。日本語教育に関する政策の推進においても，ICTの活用と普及が取り上げられている。本研究では，外国人住民を対象としたICTの活用に向けた情報提供について，外国人住民が必要な情報にアクセスし，それらを適切に利用するために何が必要かを示すことを目的とし，情報の受信者側である外国人住民の中でもベトナム系住民を対象としてウェブ上でアンケート調査を行い，コロナ禍における生活の変化，日本語への認識，ICTツールの利用実態を示した上で，行政等の情報発信における課題を考察した。本調査の結果，情報に取り残されないという視点は外国人住民に対しても重要であること，情報の受信者側である外国人住民のICT 使用実態やニーズを把握した上での情報発信の必要性があることが確認された。departmental bulletin pape
Curriculum Development in Middle Schools Centered on Inquiry-Based Learning - Focusing on the Well-Being of Each Student -
Get PDF本研究は、中学校における探究的な学習を核としたカリキュラム開発を通じて、生徒一人ひとりのウェルビーイング向上を目指した実践事例を報告する。2023～2024年度にかけて、学校教育目標「豊かな創造性」「たくましい実践力」「生活をきりひらく」を基盤に、総合的な学習の時間と教科を連携させた3年間の段階的なカリキュラムを構築した。1年次は探究の基礎形成、2年次は個人研究の深化、3年次は成果発表と社会との接続強化を進めた。これにより、生徒は探究心、協働力、問題解決能力を育むことができた。一方で、問いの設定に苦労する生徒や、外部との連携が十分ではないと感じるなどの課題も明らかになった。今後は、ウェルビーイング達成度の評価指標の開発、教員の支援力向上、カリキュラムの普遍化に取り組む必要がある。本研究は、生徒の学びを生活や社会に結びつけるカリキュラムモデルとして、新たな可能性を提案するものである。departmental bulletin pape
Development of shipbuilding support system for linear heating forming of steel plates
Get PDF三重大学博士(工学)application/pdfIn the shipbuilding process, the heating and forming of steel plates is a key step that affects the structural integrity and performance of the hull. This paper proposes an innovative method based on machine learning (ML) and deep learning technology to optimize the heating line planning of steel plates in hull construction, thereby improving the accuracy and efficiency of steel plate forming.
The traditional linear heating process of steel plates relies on experienced workers to plan and adjust the heating lines. This process is time-consuming and requires multiple iterations, resulting in a waste of manpower and resources. To solve this problem, this paper proposes an automated heating line planning method to achieve efficient heating of steel plates through ML and multi-objective optimization.
First, this paper constructs a comprehensive steel plate heating model that takes into account the physical properties of steel plate materials (such as thickness, thermal conductivity, heating temperature, etc.), and uses finite element analysis (FEA) tools to simulate heat transfer, stress, and deformation during the heating process. Through this model, the deformation and stress distribution of steel plates under different materials and heating conditions can be accurately predicted, providing a theoretical basis for subsequent heating line planning.
Next, this paper introduces a reinforcement learning algorithm (RL) to adaptively learn the optimal heating path based on the shape requirements of the target steel plate to minimize the forming error. During the RL process, the algorithm gradually optimizes the heating path through multiple iterations to ensure that the deformation of the steel plate is consistent with the target shape, thereby reducing manual intervention and improving the automation level of the heating process.
In addition, in order to cope with the complexity of multidimensional data generated during the heating process, this paper combines principal component analysis (PCA) to reduce data dimensionality and simplify deformation features. The particle swarm optimization algorithm (PSO) is used to further optimize the heating route. Combined with the deep Q network (DQN) algorithm based on the gradient strategy, real-time adjustment and update of the heating process are achieved to ensure accurate control of the deformation of the steel plate during the entire heating process.
After the heating is completed, the actual shape of the steel plate is measured using laser scanning technology and compared with the target shape. For areas with insufficient deformation, the model will re-plan the heating line and further heat it. Through this iterative feedback mechanism, not only the accuracy of steel plate forming is improved, but also data support is provided for further optimization of the model.
In summary, this paper proposes a new steel plate heating method that integrates FEA, RL and multi-objective optimization, and dynamically feed backs the steel plate forming situation through real-time updates and laser scanning. The experimental results show that this method can significantly improve the efficiency and accuracy of steel plate forming, reduce the dependence on experienced workers, reduce energy consumption and production costs, and has important engineering application value. This method provides an efficient and intelligent solution for steel plate heating in shipbuilding, which helps promote the digital transformation and upgrading of the shipbuilding industry.本文/Graduate School of Engineering Mie University Japan100pdoctoral thesi
The Possibilities of Education Using VR Devices－Through a Seminar Example Using VR Goggles－
Get PDF近年のVRデバイスにおける進化は目覚ましく、高性能化、低価格化が急速に進んでいる。各分野での活用が進んでいるが、教育においては発展途上の状況にある。本稿では、VRデバイス、特にVRゴーグルに注目し概観した後に、試行的な取り組みを経て実施した高大接続セミナーでの実践事例を報告する。実践で得られた注意点をまとめることで今後の活用の見通しを立て、教育における可能性について考察する。departmental bulletin pape
Differences in e-mails used to express gratitude Comparing Japanese Native Speakers and Chinese Native speakers
Get PDFThis paper investigates and analyzes the differences in the way expressions of gratitude are expressed between Japanese Native Speakers (JNS) and Chinese Native Speakers (CNS) in e-mail discourse. As a result, it was found that the difference is that JNS e-mail discourse expresses gratitude by using multiple expressions of gratitude in long, polite sentences, while CNS e-mail discourse expresses gratitude by using short, concise expressions of gratitude in everyday language.departmental bulletin pape
The effects of spatial vegetation and land-use pattern of feral Sika deer on nutritive condition
No full textapplication/pdfIn recent years, the damage caused to agriculture and forestry by wild animals, such as deer, has increased in Japan. Hunting for wildlife and promoting the consumption of game meat are recommended to address this problem. Therefore, we examined the effects of spatial vegetation and land-use patterns on the nutritional components of deer meat in feral sika deer habitats. Game meat harvested in central Japan in winter (25 deer) was used for chemical analysis. We conducted spatial analysis experiments at multiple scales to examine the relationship between the nutritive components of meat and vegetation/land use within the assumed home range using a geographic information system. Based on the model selection of the nutritional components of meat as objective variables and vegetation/land use as explanatory variables, the developed land and Rhododendron macrosepalum–Pinus densiflora community were selected in the fat models, and the clear-cut area was selected in the best fat and crude protein models across the home range sizes. Moreover, clear-cut areas and developed land positively affect the fat content of deer meat; therefore, these areas are expected to contribute to maintaining nutritive conditions for deer during winter and early spring.journal articl
