Jay Kishigami
Muroran Institute of Technology
23 Papers
47 Citations
Jay Kishigami is an academic researcher from Muroran Institute of Technology. The author has contributed to research in topics: Computer science & Blockchain. The author has an hindex of 7, co-authored 22 publications.
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Papers
Blockchain contract: Securing a blockchain applied to smart contracts
Hiroki Watanabe,Shigeru Fujimura,Atsushi Nakadaira,Miyazaki Yasuhiko,Akihito Akutsu,Jay Kishigami +5 more
- 01 Jan 2016
TL;DR: A new mechanism is proposed for securing a blockchain applied to contracts management such as digital rights management that includes a new consensus method using a credibility score and creates a hybrid blockchain by alternately using this new method and proof-of-stake.
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Blockchain contract: A complete consensus using blockchain
Hiroki Watanabe,Shigeru Fujimura,Atsushi Nakadaira,Miyazaki Yasuhiko,Akihito Akutsu,Jay Kishigami +5 more
- 01 Oct 2015
TL;DR: A new protocol using the technology is described that makes it possible to confirm that contractor consent has been obtained and to archive the contractual document in the blockchain.
194
BRIGHT: A concept for a decentralized rights management system based on blockchain
Shigeru Fujimura,Hiroki Watanabe,Atsushi Nakadaira,Tomokazu Yamada,Akihito Akutsu,Jay Kishigami +5 more
- 01 Sep 2015
TL;DR: This work proposes a concept for a new rights management system based on the blockchain technology, which is famous for supporting the reliability of the bitcoin.
105
Smart Infrastructure Design for Smart Cities
TL;DR: The authors’ RSU deployment strategy simultaneously maximizes the communication coverage and reduces the energy consumption of RSUs, and significantly improves both energy efficiency and network connectivity.
Enhancing Blockchain Traceability with DAG-Based Tokens
Hiroki Watanabe,Tatsuro Ishida,Shigenori Ohashi,Shigeru Fujimura,Atsushi Nakadaira,Kota Hidaka,Jay Kishigami +6 more
- 14 Jul 2019
TL;DR: This work proposes a new token design based on a directed acyclic graph (DAG) that allows token histories to be efficiently explored without examining the whole blockchain and significantly improves the efficiency of exploring token transfer histories.
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