Japan Advanced Institute of Science and Technology

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    16775 research outputs found

    視触覚情報を用いた協創を促す演出手法による制作支援

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    Supervisor: 宮田 一乘先端科学技術研究科博

    地域産品の持続的購買関係を形成する要因の研究

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    Supervisor: 白肌 邦生先端科学技術研究科博

    スペクトル変調・時間変調分析に基づく音響信号の高度な特徴表現とその応用

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    Supervisor: 鵜木 祐史先端科学技術研究科博

    Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization

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    In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) strategy and the receiver has certain distortion requirements for the received information. For the system described above, we first derive the achievable rate distortion region of the system. Then, on the basis of the region analysis, the system outage probability when the channel suffers Nakagami-m fading is analyzed. Finally, we design an optimal relay position identification algorithm based on the Soft Actor-Critic (SAC) algorithm, which determines the optimal UAV position to minimize the outage probability. The simulation results show that the proposed algorithm can optimize the UAV position and reduce the system outage probability effectively.2024 IEEE Globecom Workshops (GC Wkshps), Cape Town, South Africa, December 8–12, 202

    認知・感情・購買意図に基づく中国アニメーションにおけるプロダクト・プレースメントの影響要因に関する研究

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    Supervisor: 永井 由佳里先端科学技術研究科博

    ジェスチャの追加提示による属性フレーミング効果への影響

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    論理的に等価であるにも関わらず,記述表現がポジティブまたはネガティブと異なることによって,後の意思決定が変化する現象は属性フレーミング効果として知られている.本研究では,属性フレーミング効果を誘発する文章表現に対して,数量を表現するジェスチャを追加提示した場合の意思決定への影響について調査を行った.その結果,数量を表現するジェスチャの追加提示は,フレーミング効果による意思決定の偏りを抑制または解消させることを明らかにした.日本認知科学会第41回大会, 東京大学本郷キャンパス, 2024年10月12日-14

    光活性足場材料を利用した 複合細菌培養法の創出と 癌免疫療法への展開

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    Supervisor: 都 英次郎先端科学技術研究科修士(マテリアルサイエンス

    Oracle Bone Character Generation with Diffusion Models

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    Generating is a challenging task due to their scarcity and unique pictographic nature. In this research, we propose a novel approach to generate oracle bone character-style images corresponding to the given image input using diffusion models. Unlike existing datasets of oracle bone characters, they typically store paired characters with modern Chinese characters. We first construct the dataset that aligns oracle bone characters, text prompts, and object images. We then train a stable diffusion model on this dataset. By inputting images of different objects combined with corresponding text prompts, the model generates the corresponding images in the style of oracle bone characters. Additionally, we integrate an optimization module to refine the initial results, ensuring they better conform to the original structure and norms of oracle bone characters. The qualitative evaluation demonstrates that our model excels in generating oracle bone character-style images that are both stylistically and semantically consistent.コンピュータグラフィックスとビジュアル情報学研究会第194回研究発表

    Study on Visual Speech Recognition Based on Multi-Region Information

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    Supervisor: 吉高 淳夫先端科学研究科修士(情報科学

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