Water quality monitoring method based on data fusion technology

Liu, Chunjiang; Qiao, Changlu

doi:10.18280/mmc_c.780105

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Jiao Z proposed a new method to improve the accuracy of fault location based on multi-source data fusion technology [9]. In order to effectively monitor water quality, Liu C proposed a data fusion method based on Dempster-Shafer evidence theory to detect pollutants in water [10]. However, the above-mentioned related researches are still not deep enough in the design of legal protection, and there is still room for improvement.…”

Section: Related Workmentioning

confidence: 99%

Corporate Governance Decision-making and Legal Protection Model Based on Data Fusion Technology

2023

acccm

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Corporate governance covers economics, business administration, law, and auditing and information technology. Effective corporate governance decision-making is an important source of a company's competitive advantage, it is one of the decisive factors to improve the competitiveness of an organization, and it plays a key role in ensuring the rapid development of the organization and sustainable growth at the same time. The quality of management is not only related to the company's performance, but also has a significant impact on the efficiency and effectiveness of the company's investment decisions, which in turn has a significant impact on the development of high-tech industries. Therefore, the legal protection of corporate governance decisions is very necessary. Faced with the huge amount of resources on the Internet today, netizens will always have a way to make use of them if they want to. In order to protect company resources and governance decisions, this paper aims to study a set of legal protection models for corporate governance decisions based on data fusion technology, so as to improve the protection of corporate governance decisions, which is conducive to the long-term sustainable development of the company. Using data fusion technology to conduct related experiments, the experimental results of this paper show that it is compared with other algorithms. The efficiency value of the method proposed in this paper can be higher than 95%, and the privacy protection and calculation accuracy are also due to other algorithms, which can have a large application space in corporate governance decision-making and its legal protection model.

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Section: Related Workmentioning

confidence: 99%

Corporate Governance Decision-making and Legal Protection Model Based on Data Fusion Technology

2023

acccm

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“…The authors combined data from multiple sensors, including temperature, pH, and dissolved oxygen, to comprehensively view the water quality in real-time. Liu et al [5] improved the Dempster-Shafer method. Their main achievements are higher accuracy, cost-effective, and comprehensive monitoring.…”

Section: Introductionmentioning

confidence: 99%

A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study

Brill,

Bendersky

2023

Computation

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Process Variability (PV) is a significant water quality time-series measurement. It is a critical element in detecting abnormality. Typically, the quality control system should raise an alert if the PV exceeds its normal value after a proper delay time (DT). The literature does not address the relation between the extended process variability and the time delay for a warning. The current paper shows a graphical method for calibrating a Water Quality Model based on these two parameters. The amount of variability is calculated based on the Euclidean distance between records in a dataset. Typically, each multivariable process has some relation between the variability and the time delay. In the case of a short period (a few minutes), the PV may be high. However, as the relevant DT is longer, it is expected to see the PV converge to some steady state. The current paper examines a method for estimating the relationship between the two measurements (PV and DT) as a detection tool for abnormality. Given the user’s classification of the actual event for true and false events, the method shows how to build a graphical map that helps the user select the best thresholds for the model. The last section of the paper offers an implementation of the method using real-world data.

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Water quality monitoring method based on data fusion technology

Cited by 2 publications

References 25 publications

Corporate Governance Decision-making and Legal Protection Model Based on Data Fusion Technology

Corporate Governance Decision-making and Legal Protection Model Based on Data Fusion Technology

A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study

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