DNV signs research deal with NTUA

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DNV signs research deal with NTUA

机译：DNV与NTUA签署研究协议

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A strategic research and development collaboration agreement has been signed between DNV and the National Technical University of Athens (NTUA). This agreement will then be followed up by DNV establishing a research and innovation hub in Athens/Pireaus early next year.rnThe collaboration will focus mainly on the maritime industry and the university's School of Naval Architecture and Marine Engineering. Ship design optimisation and effective bulk transportation are the two main topics initially selected.

机译：DNV与雅典国立技术大学（NTUA）签订了战略研发合作协议。 DNV将于明年年初在雅典/ Pireaus建立一个研究与创新中心，以跟进该协议。此次合作将主要集中在海运业以及该大学的海军建筑与海洋工程学院。船舶设计的优化和有效的散装运输是最初选择的两个主要主题。

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《The Naval Architect》 |2007年第2007期|11|共1页
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类水路运输;
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4. Insight into Pipeline On-bottom Stability, DNV RP F109 and DNVGL RP 114 [C] . N. I. Thusyanthan, S. Jegandan Offshore technology conference . 2018

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6. Scottish NHS signs £4m deal with private sector [O] . Bryan Christie 2002

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7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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DNV signs research deal with NTUA

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