Visualization Research and Application of Water Quality Monitoring Data Based on Echarts

Sheng, Yifu; Chen, Weida; Huang, Wen; Lin, Haijun; Jian-jun, Zhang

doi:10.32604/jbd.2020.01001

Cited by 14 publications

(4 citation statements)

References 2 publications

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“…Echarts is an open source visualization library widely used for data visualization presentation [20]. It offers a wide range of data visualization requiring rich chart kinds as line charts, bar charts, scatter plots, pie charts, etc., as well as highly customizable choices [21]. The diverse chart types and high customizability provided by Echarts allow Railsight to flexibly present data at different levels, making railroad data visualizable, understandable, and easy to analyze [22].…”

Section: Implementation Details 41 the Front-end Web Interfacementioning

confidence: 99%

Railsight: a user-friendly data visualization platform for UK rail transport

Ruan,

Al-Dubaee

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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Section: Implementation Details 41 the Front-end Web Interfacementioning

confidence: 99%

Railsight: a user-friendly data visualization platform for UK rail transport

Ruan,

Al-Dubaee

2023

Fourth International Conference on Signal Processing and Computer Science (SPCS 2023)

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“…New students in colleges and universities, wide geographical distribution, distinctive personality, and a large number, how to quickly close the distance between teachers and students, students and students, "ice-breaking" activities are undoubtedly simple and effective, and social phobia and sensitive temperament to a certain extent also plagued some of the students, if the embarrassment of direct contact before a student group portrait has been pre-understood and familiar with, the situation may be very different. familiarized with, the situation may be very different [3].…”

Section: Introductionmentioning

confidence: 99%

Application of Lightweight Freshmen Group Portrait Based on Echarts

Shen

2024

jes

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This study designs a general analysis model for fusion method, big data portrait of young users using map engine data, and tries to solve the problem of fusion of qualitative and quantitative methods in user portrait. This paper determines the necessity of freshmen group portrait in the practice of ideological education by studying the freshmen group portrait and its objectives, connotations and roles; through the various aspects of data collection, cleaning, structuring, data analysis and modeling, the Echarts platform is used to establish a data visualization example, to achieve a three-dimensional, multi-dimensional and interactive visualization output of the freshmen group portrait, and with the help of the combination of qualitative and quantitative methods, the design of the Research model. Based on the theory of sociological psychology, we construct a user value map, use Look-alike algorithm to construct the map data labeling system, use K-Means clustering algorithm to get the data results, and analyze the data results for business. Using the model for big data empirical demonstration, the results show that young users can be divided into 20 categories of groups, and the total number of data results reaches 170 million, and the number of preference labels reaches 606, which is better than the results of survey data. And it is applied in the initial education and teaching practice process, obtaining better results, with replicable and generalizable practical application scenarios.

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“…Visual interaction is one of important methods that interactive interfaces enable the people to perform with algorithms involving complicated mathematical models. A water quality monitoring system in real time based on Tencent Cloud [24] is implemented by adopting ECharts to display visually the trend of the water quality processing. Among various popular Web visualization components, ECharts is widely used because of its ease of use, rich built-in interaction and high performance.…”

Section: Introductionmentioning

confidence: 99%

Visualization Techniques via MLBS for Personnel Management in Major Events

Sui¹,

Hou²,

Li³

et al. 2023

Computer Systems Science and Engineering

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Mobile location-based services (MLBS) refer to services around geographic location data. Mobile terminals use wireless communication networks (or satellite positioning systems) to obtain users' geographic location coordinate information based on spatial databases and integrate with other information to provide users with required location-related services. The development of systems based on MLBS has significance and practical value. In this paper a visualization management information system for personnel in major events based on microservices, namely MEPMIS, is designed and implemented by using MLBS. The system consists of a server and a client app, and it has some functions including map search and query, personnel positioning and scheduling, location management, messaging, and location service. Managers of the events can quickly search and locate the staff on the specific area of the map in real-time, and make broadcasting messages to the staff, and manage the staff. The client app is developed on the Android system, by which staff users can send the positions information to the server timely. The client users can search fuzzily near their peers and list their locations, and also call near peers through sending messages or query the history record of staff locations. In the design of the system, several new proposed techniques, including visual annotation method for overlapping locations, correcting trajectory drift algorithm, microservices-based overall system architecture methodology and other new techniques, which are applied to the implementation of the system. Also, HTML5, JQuery, MLBS APIs (Application Program Interfaces) related programming techniques have been used and combined with loading Ajax asynchronously and Json data encapsulation, map marker optimization techniques, that can improve the positioning accuracy and the performance of the system. The developed system with practical functions can enhance the efficiencies of the organization and management of major events.

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Visualization Research and Application of Water Quality Monitoring Data Based on Echarts

Cited by 14 publications

References 2 publications

Railsight: a user-friendly data visualization platform for UK rail transport

Railsight: a user-friendly data visualization platform for UK rail transport

Application of Lightweight Freshmen Group Portrait Based on Echarts

Visualization Techniques via MLBS for Personnel Management in Major Events

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