Migrations of systems from on-site premises to the cloud has been a
fundamental endeavor by many industrial institutions. A crucial component of
such cloud migrations is the transition of databases to be hosted online. In
this work, we consider the difficulties of this migration for SQL databases.
While SQL is one of the prominent methods for storing database procedures,
there are a plethora of different SQL dialects (e.g., MySQL, Postgres, etc.)
which can complicate migrations when the on-premise SQL dialect differs to the
dialect hosted on the cloud. Tools exist by common cloud provides such as AWS
and Azure to aid in translating between dialects in order to mitigate the
majority of the difficulties. However, these tools do not successfully
translate $100\%$ of the code. Consequently, software engineers must manually
convert the remainder of the untranslated database. For large organizations,
this task quickly becomes intractable and so more innovative solutions are
required. We consider this challenge a novel yet vital industrial research
problem for any large corporation that is considering cloud migrations.
Furthermore, we introduce potential avenues of research to tackle this
challenge that have yielded promising preliminary results.

系统从现场迁移到云端的迁移是许多工业机构的基本工作之一。对于 SQL 数据库的迁移而言，不同的 SQL 方言可能会使迁移变得复杂。现有的工具无法完全翻译所有代码，因此需要更多创新性的解决方案来应对这一挑战。这是一项新颖而重要的工业研究问题，对于考虑云迁移的大型公司而言，有望产生有前景的初步结果。

云迁移中的 SQL 方言转换

Translating between SQL Dialects for Cloud Migration

The study and development of innovative solutions for the advanced
visualisation, representation and analysis of medical images offer different
research directions. Current practice in medical imaging consists in combining
real-time US with imaging modalities that allow internal anatomy acquisitions,
such as CT, MRI, PET or similar. Application of image-fusion approaches can be
found in tracking surgical tools and/or needles, in real-time during
interventions. Thus, this work proposes a fusion imaging system for the
registration of CT and MRI images with real-time US acquisition leveraging a 3D
camera sensor. The main focus of the work is the portability of the system and
its applicability to different anatomical districts.

该研究论文提出了一种融合成像系统，利用 3D 相机传感器，将 CT 和 MRI 图像与实时超声波采集进行注册，主要关注系统的便携性和在不同解剖部位的适用性。