A reduced complexity model with graph partitioning for rapid hydraulic assessment of sewer networks

Author(s):  
Barnaby Dobson ◽  
Hannah Watson‐Hill ◽  
Samer Muhandes ◽  
Morten Borup ◽  
Ana Mijic
2021 ◽  
Author(s):  
Barnaby Dobson ◽  
Hannah Watson-Hill ◽  
Samer Muhandes ◽  
Morten Borup ◽  
Ana Mijic

2019 ◽  
Author(s):  
Mahendra Awale ◽  
Finton Sirockin ◽  
Nikolaus Stiefl ◽  
Jean-Louis Reymond

<div>The generated database GDB17 enumerates 166.4 billion possible molecules up to 17 atoms of C, N, O, S and halogens following simple chemical stability and synthetic feasibility rules, however medicinal chemistry criteria are not taken into account. Here we applied rules inspired by medicinal chemistry to exclude problematic functional groups and complex molecules from GDB17, and sampled the resulting subset evenly across molecular size, stereochemistry and polarity to form GDBMedChem as a compact collection of 10 million small molecules.</div><div><br></div><div>This collection has reduced complexity and better synthetic accessibility than the entire GDB17 but retains higher sp 3 - carbon fraction and natural product likeness scores compared to known drugs. GDBMedChem molecules are more diverse and very different from known molecules in terms of substructures and represent an unprecedented source of diversity for drug design. GDBMedChem is available for 3D-visualization, similarity searching and for download at http://gdb.unibe.ch.</div>


Author(s):  
Viktor, Vasil’ev ◽  
G. Morozov ◽  
S. Zhukov

Реконструкция канализационных сетей становится важнейшим элементом поддержания всей системы канализации в рабочем состоянии за счет минимизации эксплуатационных затрат, увеличения срока службы трубопроводов, повышения автономности в работе системы с помощью современных средств автоматизации, контроля и анализа. Для того чтобы максимально продлить срок службы трубопроводов и не причинить вреда параллельно проложенным инженерным сетям, необходимо грамотно подбирать методы и способы реконструкции сетей, основываясь на опыте и анализе работы существующих. Рассмотрены и классифицированы основные методы реконструкции и ремонта трубопроводов. Отмечена необходимость в системной реконструкции. Разработана блок-схема, позволяющая выбрать метод реконструкции в зависимости от характера разрушения трубопровода на основании телеметрического обследования. Приведены примеры ее применения на реальных объектах. Статья написана на основе анализа технической литературы и опыта эксплуатации и проектирования канализационных сетей в Санкт-Петербурге.Rehabilitation of sewer networks becomes an essential element in maintaining the entire sewage system in running order by minimizing the operating costs, increasing the life of pipelines, increasing the self-sustainability of the system using advanced automation, control and analysis tools. In order to maximize the life of pipelines and eliminate damaging parallel laid utility networks, it is necessary to correctly choose the methods of networks rehabilitation based on the experience and analysis of the existing ones. The main methods of repair and rehabilitation of pipelines are considered and classified. The necessity for system approach to the reconstruction is noted. A block diagram has been developed that provides for choosing a reconstruction method depending on the nature of the pipeline destruction and based on the telemetry inspection. Examples of its application in the existing structures are given. The article is written on the basis of an analysis of the technical publications and experience of operating and designing sewer networks in St. Petersburg.


2019 ◽  
Author(s):  
Nasir Saeed ◽  
Mohamed-Slim Alouini ◽  
Tareq Y. Al-Naffouri

<div>Localization is a fundamental task for optical internet</div><div>of underwater things (O-IoUT) to enable various applications</div><div>such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for OIoUT greatly relies on the location of the anchors. Therefore, recently localization techniques for O-IoUT which optimize the anchor’s location are proposed. However, optimization of anchors location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this paper, we propose a three-dimensional accurate localization technique by optimizing the anchor’s location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable</div><div>sensors.</div>


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