Real-Time Web-Based System Monitoring

Author(s):  
M. Branch ◽  
B. Bradley
2007 ◽  
Vol 13 (2) ◽  
pp. 12-16 ◽  
Author(s):  
Mike Branch ◽  
Bob Bradley

2013 ◽  
Vol 748 ◽  
pp. 571-574
Author(s):  
Ji Hui Zhuang ◽  
Hui Xie ◽  
Ying Yan ◽  
Zhong Wen Zhu

This paper presents the development of a real time web based system for monitoring and calibrating diesel engine using internet and ECU communication technologies. The development system consists of an in-vehicle device, capable of acquiring various engine data by LIN/CAN, a client tool and a web server for the application. The data is send from ECU through an in-vehicle device which collects and process information using KWP2000 protocol to server, thus allowing users to remotely monitoring and calibrating diesel engine from their office instead of testing from the scene.


2009 ◽  
Vol 56 (12) ◽  
pp. 4791-4797 ◽  
Author(s):  
D. Lopez ◽  
R. Cedazo ◽  
F.M. Sanchez ◽  
J.M. Sebastian

2019 ◽  
Author(s):  
Dominik Moritz ◽  
Bill Howe ◽  
Jeffrey Heer

We contribute user-centered prefetching and indexing methods that provide low-latency interactions across linked visualizations, enabling cold-start exploration of billion-record datasets. We implement our methods in Falcon, a web-based system that makes principled trade-offs between latency and resolution to optimize brushing and view switching times. To optimize latency-sensitive brushing actions, Falcon reindexes data upon changes to the active view a user is brushing in.To limit view switching times, Falcon initially loads reduced interactive resolutions, then progressively improves them. Benchmarks show that Falcon sustains real-time interactivity of 50fps for pixel-level brushing and linking across multiple visualizations with no costly precomputation. We show constant brushing performance regardless of data size on datasets ranging from millions of records in the browser to billions when connected to a backing database system.


2019 ◽  
Author(s):  
Jimut Bahan Pal

The work of finding the best places according to user’s preferences can be a tedious task. We designed, created and tested software which can take the preferences from the user and provide the best places according to their preferences from the location with a certain radius in real time. This eliminates the extra task of researching about a place and helps the user to visualise the places according to the preferences in real time. This uses foursquare API to fetch the data for the locations. We have built a console application for this purpose and this can be transferred to web based system in future. The internet connection is a must during using of this application. The Map that is formed is visualised in a browser and can be saved for future use. We have provided certain features in the application that will improve the user’s experience.


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