Towards automated gas leak detection through cluster analysis of mass spectrometer data

Hasegawa, Makoto; Sakurai, Daisuke; Higashijima, A.; Niiya, Isao; Matsushima, Keiji; Hanada, K.; Idei, H.; Ido, T.; Ikezoe, Ryuya; Onchi, Takumi; Kuroda, Kazuyuki

doi:10.1016/j.fusengdes.2022.113199

Cited by 4 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Academic studies in all areas often use clustering to help analyze data and reach conclusions. For example, in [ 7 ], the authors detected gas leaks by monitoring mass spectrometer data and cluster analysis. Because of disputes between tourism development and natural landscape protection, various stakeholders were included in a cluster analysis, and the analysis results were divided into four groups: conservative to radical [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

Shih

et al. 2022

Healthcare

View full text Add to dashboard Cite

Since December 2019, COVID-19 has been raging worldwide. To prevent the spread of COVID-19 infection, many countries have proposed epidemic prevention policies and quickly administered vaccines, However, under facing a shortage of vaccines, the United States did not put forward effective epidemic prevention policies in time to prevent the infection from expanding, resulting in the epidemic in the United States becoming more and more serious. Through “The COVID Tracking Project”, this study collects medical indicators for each state in the United States from 2020 to 2021, and through feature selection, each state is clustered according to the epidemic’s severity. Furthermore, through the confusion matrix of the classifier to verify the accuracy of the cluster analysis, the study results show that the Cascade K-means cluster analysis has the highest accuracy. This study also labeled the three clusters of the cluster analysis results as high, medium, and low infection levels. Policymakers could more objectively decide which states should prioritize vaccine allocation in a vaccine shortage to prevent the epidemic from continuing to expand. It is hoped that if there is a similar epidemic in the future, relevant policymakers can use the analysis procedure of this study to determine the allocation of relevant medical resources for epidemic prevention according to the severity of infection in each state to prevent the spread of infection.

show abstract

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

Shih

et al. 2022

Healthcare

View full text Add to dashboard Cite

show abstract

“…While it was considered practical at the time, currently, the substantial QUEST data accumulation has generated a need to discuss linkages in past experiments and events retrospectively. One example is analyzing patterns of gas leaks measured by mass spectrometers to ensure efficient and safe tokamak operation [7]. Many data loggers, including those attached to mass spectrometers, typically obtain data and output files at periodic intervals, leading to a large number of data files author's e-mail: hasegawa@triam.kyushu-u.ac.jp over time.…”

mentioning

confidence: 99%

QUEST Database for Tokamak Big Data

Hasegawa

Higashijima

Niiya

et al. 2023

Plasma and Fusion Research

Self Cite

View full text Add to dashboard Cite

A database has been developed to provide a highly efficient data analysis environment by registering various types of data obtained in the QUEST (Q-shu University Experiment with Steady-State Spherical Tokamak) experiments and providing the data to researchers through standard SQL query output. In conventional experiments, measurements are usually obtained using several instruments, and the results are often stored separately in proprietary formats. An analysis to collect distributed files and convert them into appropriate formats individually was necessary, which led to a decrease in analysis efficiency. In order to build a system to centrally store and provide data, we constructed new servers, each for registering data in a database and for extracting data from the database and visualizing the data. As a result, various real-time monitoring data can be registered in the database, and data retrieval for analysis can be performed easily with a unified user interface. The construction of this database has made it possible to easily retrieve real-time monitoring data and a wide variety of table data, enabling analysis from a new perspective, and improving analysis efficiency. c

show abstract

Gas sensing for industrial application

Anwar

2024

Next-Generation Smart Biosensing

View full text Add to dashboard Cite

Towards automated gas leak detection through cluster analysis of mass spectrometer data

Cited by 4 publications

References 13 publications

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution

QUEST Database for Tokamak Big Data

Gas sensing for industrial application

Contact Info

Product

Resources

About