A Context-Aware Information Service using FCM Clustering Algorithm and Fuzzy Decision Tree

Yang, Seokhwan; Chung, Mokdong

doi:10.9717/kmms.2013.16.7.810

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…The 33 patients were treated using the conventional basic cupping technique; the 52 patients underwent treatment using MECS 5 different times, as often as twice a week. We analyzed the change in the ODI, based on the sex, age, and medical history of patients [13,14].…”

Section: Subject Of Study and Methods Of Evaluationmentioning

confidence: 99%

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Kim¹,

Ko²,

Wei³

et al. 2015

Journal of Korea Multimedia Society

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A multi-cup electric cupping system (MECS) was proposed, based on the ancient cupping method. MECS consisted of several cups that could be used simultaneously to treat 85 lumbago patients. Each cup was equipped with its own pump and pressure-monitoring system. The vacuum pressure of the cups was controlled using fuzzy logic. Through automated control of the vacuum pressure, long-term relief of muscle tightness was achieved. To develop a scientific foundation for this alternative treatment, we compared the Oswestry Disability Index (ODI) scores from conventional basic cupping to the ODI scores for our proposed MECS. The ODI scores using MECS decreased from 11.71 ± 1.61 before treatment to 4.81 ± 1.48 and 1.87 ± 1.61 after three and five treatments, respectively. The improvement rate in the ODI scores using MECS after three treatments was higher than that achieved by basic cupping. These results, combined with the convenience offered by enhanced information technology and fuzzy logic capabilities, should increase the efficiency of this device, and facilitate the opportunity to further explore the potential of Oriental medical practices.

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Section: Subject Of Study and Methods Of Evaluationmentioning

confidence: 99%

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Kim¹,

Ko²,

Wei³

et al. 2015

Journal of Korea Multimedia Society

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A prediction model based on Big Data analysis using hybrid FCM clustering

Yang

Kim

Chung

2014

The 9th International Conference for Internet Technology and Secured Transactions (ICITST-2014)

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Enhanced Hybrid Multi Electrical Cupping System using S-PI Controller

Kim¹,

Kim²

2015

Journal of Korea Multimedia Society

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In the paper, we suggest bettered EHMECS(Enhanced Hybrid Multi Electrical Cupping System) to regulate automatically vacuum pressure using many cupping cup at once. We controlled accurately the pressure using S-PI control technique in pump motor to input the air inside cupping cup. S-PI control compared constant velocity, load and velocity variance between existing PI and FLC(Fuzzy Logic Control).The stabilization time of suggested S-PI control improve 20% of existing PI and 8% of FLC. The error constant of normal condition improved 71% of existing PI and 62% of FLC in steady speed and 80% of existing PI and 67% of FLC in load change. Also the error constant about velocity variance improve 45% of PI control. It is prove the suggested S-PI control technique. When use long time vacuum pressure of cupping cup regulated the suggested S-PI control technique, can loosen knotted muscles.

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A Context-Aware Information Service using FCM Clustering Algorithm and Fuzzy Decision Tree

Cited by 3 publications

References 7 publications

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

A prediction model based on Big Data analysis using hybrid FCM clustering

Enhanced Hybrid Multi Electrical Cupping System using S-PI Controller

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