Application for Large scale database-based Online Modeling of Melting Furnace

Akaike, Yuhei; Higashi, Keisuke; Tanaka, Norihiro; Furuya, Hidehiko; Ogawa, Makoto; Yeh, Yun-Chi; Tokunaga, Takaya; Ogai, Harutoshi

doi:10.3182/20120910-3-jp-4023.00016

Cited by 2 publications

(3 citation statements)

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“…The practical method based on JIT modeling calls up past, similar operations of data that have been searched, and the prospective operation data is estimated. A schematic diagram of LOM [1][2][3][4][5] is presented in Fig. 4.…”

Section: Jit Modeling and Lommentioning

confidence: 99%

“…Then, the local model is discarded and neighboring data sets in measured data sets in an updated database are selected for the next estimation. The LOM [1][2][3][4][5] makes the retrieval of neighboring data more efficient by using the stepwise method and quantization. The stepwise method decreases the dimension of multidimensional space of the actual process.…”

Section: Jit Modeling and Lommentioning

confidence: 99%

“…In this study, we used "LOM" [1][2][3][4][5], one of the local modeling methods based on databases, to reproduce the characteristics of fatigue based on information derived from observation of biomedical signs.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Degree of Human Fatigue Score by Defined Data Distance in Large-Scale Data-Based Online Modeling

Hachiya

Ogawa

Kawanari

et al. 2015

Journal of Signal Processing

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It is important to quantify and prevent mental fatigue in order to forestall absence from work and death from overwork. In this study, we used "Large-scale Data-based Online Modeling (LOM)", one of the local modeling methods based on databases, to reproduce the characteristics of fatigue based on information derived from observation of biomedical signs. The subjects in our study were 10 male university students. After assuming a relaxed seated position for 10 minutes, they performed two repeated sessions of a mental arithmetic task for 30 minutes each session with a 30-minute break. Subjective symptoms of feelings of fatigue score were evaluated on a 10-point scale. We measured several biomedical signs and subjective symptoms of feelings of fatigue score. We propose that it is possible to estimate the degree of acute mental fatigue from biomedical signs using the LOM method. We propose a method for determining the reliability of estimating "degree of fatigue" by distance of neighboring data.

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