scholarly journals Presentation layer of CMS Online Monitoring System

2019 ◽  
Vol 214 ◽  
pp. 01044
Author(s):  
Jean-Marc André ◽  
Ulf Behrens ◽  
James Branson ◽  
Philipp Brummer ◽  
Sergio Cittolin ◽  
...  

The Compact Muon Solenoid (CMS) is one of the experiments at the CERN Large Hadron Collider (LHC). The CMS Online Monitoring system (OMS) is an upgrade and successor to the CMS Web-Based Monitoring (WBM)system, which is an essential tool for shift crew members, detector subsystem experts, operations coordinators, and those performing physics analyses. The CMS OMS is divided into aggregation and presentation layers. Communication between layers uses RESTful JSON:API compliant requests. The aggregation layer is responsible for collecting data from heterogeneous sources, storage of transformed and pre-calculated (aggregated) values and exposure of data via the RESTful API. The presentation layer displays detector information via a modern, user-friendly and customizable web interface. The CMS OMS user interface is composed of a set of cutting-edge software frameworks and tools to display non-event data to any authenticated CMS user worldwide. The web interface tree-like component structure comprises (top-down): workspaces, folders, pages, controllers and portlets. A clear hierarchy gives the required flexibility and control for content organization. Each bottom element instantiates a portlet and is a reusable component that displays a single aspect of data, like a table, a plot, an article, etc. Pages consist of multiple different portlets and can be customized at runtime by using a drag-and-drop technique. This is how a single page can easily include information from multiple online sources. Different pages give access to a summary of the current status of the experiment, as well as convenient access to historical data. This paper describes the CMS OMS architecture, core concepts and technologies of the presentation layer.

2015 ◽  
Vol 1113 ◽  
pp. 751-756
Author(s):  
Rosmaria Abu Darim ◽  
Amizon Azizan ◽  
Jailani Salihon

Bioethanol is mainly produced by sugar fermentation process. Due to global demand on energy for transportation and environmental concern, biofuels as renewable energy in replacing petrol, the non-renewable energy source, has come into picture. Utilization of lignocellulosic biomass such as woody biomass (trees), herbaceous biomass (grasses) and waste cellulosic materials (solid waste) could be used in replacing starch (such as corn and potato) as source of sugar in producing bioethanol. Recently, study on cellulosic ethanol was focussing on fermentation process using ethanologenic strain such as engineered Escherichia coli and Saccharomyces cerevisiae. Invasive method in the study during fermentation may lead to uncertain or unwanted screening strategies or metabolic pathways. This paper reviews about the online monitoring system used by researchers in order to study the growth kinetics of ethanologenic strain. Online monitoring system for the Oxygen Transfer Rate (OTR) and Carbon dioxide Transfer Rate (CTR) is found to be the important method to study kinetic model of ethanologenic strain, thus increasing metabolic yields with optimum design condition.


2021 ◽  
Vol 216 ◽  
pp. 412-422
Author(s):  
Aiguo Li ◽  
Xiaofeng Fang ◽  
Jiangyuan Sun ◽  
Qianpeng Liu ◽  
Yingying Lian ◽  
...  

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
M. Torres ◽  
F. J. Muñoz ◽  
J. V. Muñoz ◽  
C. Rus

The Guidelines for the Assessment of Photovoltaic Plants provided by the Joint Research Centre (JRC) and the International Standard IEC 61724 recommend procedures for the analysis of monitored data to asses the overall performance of photovoltaic (PV) systems. However, the latter do not provide a well adapted method for the analysis of stand-alone photovoltaic systems (SAPV) with charge regulators without maximum power point tracker (MPPT). In this way, the IDEA Research Group has developed a new method that improves the analysis performance of these kinds of systems. Moreover, it has been validated an expression that compromises simplicity and accuracy when estimating the array potential in this kind of systems. SAPV system monitoring and performance analysis from monitored data are of great interest to engineers both for detecting a system malfunction and for optimizing the design of future SAPV system. In this way, this paper introduces an online monitoring system in real time for SAPV applications where the monitored data are processed in order to provide an analysis of system performance. The latter, together with the monitored data, are displayed on a graphical user interface using a virtual instrument (VI) developed in LABVIEW®. Furthermore, the collected and monitored data can be shown in a website where an external user can see the daily evolution of all monitored and derived parameters. At present, three different SAPV systems, installed in the Polytechnic School of University of Jaén, are being monitorized and the collected data are being published online in real time. Moreover, a performance analysis of these stand-alone photovoltaic systems considering both IEC 61724 and the IDEA Method is also offered. These three systems use the charge regulators more widespread in the market. Systems #1 and #2 use pulse width modulation (PWM) charge regulators, (a series and a shunt regulator, respectively), meanwhile System #3 has a charge regulator with MPPT. This website provides a tool that can be used not only for educational purposes in order to illustrate the operation of this kind of systems but it can also show the scientific and engineering community the main features of the system performance analysis methods mentioned above. Furthermore, it allows an external user to download the monitored and analysis data to make its own offline analysis. These files comply with the format proposed in the standard IEC 61724. The SAPV system monitoring website is now available for public viewing on the University of Jaén. (http://voltio.ujaen.es/sfa/index.html).


2020 ◽  
Vol 88 (08) ◽  
pp. 58-64
Author(s):  
Rahmat P. Booc ◽  
◽  
Kimberson B. Rafaela ◽  
Louis C. Jabonero II ◽  
Ian Jay M. Cortuna ◽  
...  

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