The previous owncloud server site has moved to Nextcloud
The previous gitserver site has moved to:
- RFun: `https:/git.drwater.net/suming/RFun.git`
- pubdata: `https:/git.drwater.net/suming/pubdata.git`
- su2018zhuhai: `https:/git.drwater.net/suming/projsu2018zhuhai.git`
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- su2016qcsecp: `https:/git.drwater.net/suming/projsu2016qcsecp.git`
Smart sourcewater management system
Introduction Cell counting tool (CCT) is developed by Environmental Microbiology Technology Group in Research Center for Eco-Environmental Sciences, Chinese Academy of Science.
The CCT is a windows-based software tool developed to record and process algal cell count data while it is being generated manually by a microscope technician.
Counting options include the user’s preferences of full field of view, transects, at the chosen magnification. The user is able to easily construct a list of types seen in the sample from a stored list which includes links to web-based photomicroscopy images to aid with identification.
Introduction The cloud analysis system is for online analysis of phytoplankton data record by CCT,
The software is in the automatic generation of results which allows for production of customised reports.
The full data set is collated resides in a database within C#. This is able to be accessed by reporting routines (in R-script) which allow the user to automatically generate a comprehensive report with just simple commands. The reports are fully professionally formatted and includes graphic and tabular representation of the algal count information for all samples customised for dates and locations for the project.
Install The following windows components are require to run the CCT:
Windows Installer 4.5 Microsoft .NET Framework 4 (x86 and x64) If the above components are ready, you can click and install the application here.
Otherwise, please click here to install the components first, and then install the application here.
Smart source water management system Smart source water management system, is aiming for the real time visulation of water quality, meteorological data, phytoplankton in source water, and subsequently for modeling, evaluation and prediction. Server Jinze Reservoir How to use The system is compatible on Firefox, Chrome, Safari, Opera, Edge as well as most of web browsers in Android or iOS based phone.