ClassNK begins publication of technical journal
(TOKYO) — ClassNK has released the first issue of its new publication, ClassNK Technical Journal, focusing on digitalization in this edition.
ClassNK Technical Journal is a comprehensive technical publication that supersedes ClassNK Technical Bulletin, a former publication by the society, to better provide its technical knowledge to the maritime industry where innovative R&D and technical development are in demand.
The first issue focuses on digitalization, one of the challenges the maritime industry is facing, and includes articles containing the basic ideas of the writers from both inside and outside the society regarding digitalization, cybersecurity, artificial intelligence, autonomous ships and more. It also highlights ClassNK’s general technical initiatives on the use of ROV in underwater surveys.
ClassNK Technical Journal will be distributed to stakeholders and also available for viewing on the society’s website (www.classnk.com) under the ClassNK Technical Journal section. The society hopes that the publication of ClassNK Technical Journal will contribute to the development of the industry.
The table of contents for the first issue is as follows:
Special feature on digitalization
About special feature on digitalization / ClassNK corporate officer, Director of Research Institute Toshiyuki Matsumoto
Digitalization in the maritime industry / MTI Co. Ltd. Dr. Hideyuki Ando
Current state of cybersecurity and issues in ships / KDDI Digital Security Inc. Kenji Fukushima
The current state and potential of artificial intelligence / Miotsukushi Analytics, Wataru Ihara, Dr. Olivia Quek
ClassNK’s approach to digitalization / ClassNK Digital Transformation Center
ClassNK’s activities for maritime autonomous surface ships / ClassNK Research Institute
Outline of guidance for onboard use of compliant fuel oil with SOx regulation from 2020 / ClassNK Research Institute
Utilization of ROV for in-water surveys / ClassNK Research Institute
Summary of damage in 2018 / ClassNK Research Institute
Study on design loads for fatigue strength assessments using automatic identification system (AIS) data / ClassNK Hull Rules Development Department
Performance analysis of the ocean energy harvesting vessel / ClassNK Renewable Energy Department
Recent topics at IMO / ClassNK External Affairs Department