日時(Datetime) | 令和5年6月20日(火)3限 (13:30 -- 15:00), 2023/06/20, Tuesday |
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場所(Location) | エーアイ大講義室(L1) |
司会(Chair) | 藤本 雄一郎(Yuichiro Fujimoto) |
講演者(Presenter) | PHAM HOAI LUAN, コンピューティング・アーキテクチャ研究室 (Computing Architecture Lab.) |
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題目(Title) | U2CA: Ultra-efficient Universal Cryptographic Accelerator for Blockchain-based IoT Systems |
概要(Abstract) | To ensure the integrity, privacy, and confidentiality of IoT data in blockchain-based applications, it is crucial to have cryptographic hardware that is flexible, fast, and power-efficient. However, existing cryptographic hardware architectures present challenges in achieving high performance and low power consumption, as well as limitations in supporting multiple cryptographic algorithms. To address these issues, this paper introduces an ultra-efficient universal cryptographic accelerator (U2CA) designed specifically for blockchain-based IoT applications. The U2CA aims to achieve high flexibility, exceptional speed, and low power consumption while maintaining high hardware efficiency. |
講演者(Presenter) | 松井 智一(Tomokazu Matsui), ユビキタスコンピューティングシステム研究室 (Ubiquitous Computing System Lab.) |
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題目(Title) | In-home activity sensing system and activity recognition method for multi-person with non-contact sensors |
概要(Abstract) | Recognition of in-home activities is essential for predicting electricity demand and monitoring services for the elderly. In order to realize in-home activity recognition not only in smart homes but also in ordinary households, a sensing system that is easy to install and a suitable activity recognition method are required. This presentation describes our sensing system, which is easy to install, and an activity recognition method for multi-person environments. Experiments show that the proposed sensing system can operate maintenance-free for an extended period, is helpful for data collection, and that the proposed activity recognition method improves the accuracy of multi-person activity recognition. |