• Journal of the Computational Structural Engineering Institute of Korea
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• v.35 no.6
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• pp.357-365
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• 2022

Refrigerant mischarging is one of the most frequently occurring failure modes in air conditioners, and both undercharging and overcharging degrade cooling performance. Therefore, it is important to accurately determine the amount of charged refrigerant. In this study, a support vector machine (SVM) model was developed to multi-classify the refrigerant mischarge through steady-state identification via fuzzy clustering techniques. For steady-state identification, a fuzzy clustering algorithm was applied to the air conditioner operation data using the difference between moving averages. The identification results using the proposed method were compared with those using existing steady-state determination techniques studied through the inversed Fisher's discriminant ratio (IFDR). Subsequently, the main features were selected using minimum redundancy maximum relevance (mRMR) considering the correlation among candidate features, and an SVM multi-classification model was devised using the derived features. The proposed method achieves satisfactory accuracy and robustness from test data collected in the new domain.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08a
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• pp.829-832
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• 2007

A high-speed and accurate analog buffer is proposed for mobile display using LTPS TFTs. The proposed analog buffer is common source type with sampling and negative feedback mode. Therefore, driving speed of the proposed buffer is faster than previously reported one. In addition, the accuracy is very high because of high negative feedback gain. The simulation results show that maximum mischarging voltage of the proposed buffer is 8mV and previously reported one is 37mV. And Power consumption of the proposed buffer is $43.1{\mu}W$, which is 73% of previously reported one.

• Biomedical Science Letters
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• v.13 no.2
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• pp.105-110
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• 2007

Aspartyl-tRNA synthetase (AspRS) exists in two different forms with respect to tRNA recognition. The discriminating enzyme (D-AspRS) recognizes only tRNA$^{Asp}$, while the non-discriminating one (ND-AspRS) also recognizes tRNA$^{Asn}$ and therefore forms both Asp-tRNA$^{Asn}$ and Asp-tRNA$^{Asp}$. Plus primary sequence distinguishes two general groups of AspRS. There is a predominantly bacterial-type, larger AspRS (about 580 aa) in addition to a shorter archaeal/eukaryotic type (about 430 aa). In vivo data made clear that discriminating and non-discriminating enzymes exist in both groups. The determinants in the protein sequence responsible for tRNA discrimination are not hewn. The AspRS from Acidithiobacillus ferrooxidans might be suggested ND-AspRS fur missing of AsnRS in genomic sequencing data. Therefore, we analyzed the AspRS from A. ferrooxidans with in vitro aminoacylation assay with E. coli unfractionated tRNA, in vivo missense suppression assay with tipA34 mutant and Northern hybridization with probes which were specific with tRNA$^{Asp}$ or tRNA$^{Asn}$. The AspRS from A. ferrooxidans produced more Asp-tRNA than that from E. coli. Only aspS gene from A. ferrooxidans suppressed trpA34 strain in minimal media without tryptophan. Only AspRS from A. ferrooxidans showed mischarged Asp-tRNA$^{Asn}$ band. Therefore, AspRS from A. ferrooxidans is definitely ND-AspRS.