• Journal of the Korea Society of Computer and Information
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• v.28 no.11
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• pp.13-20
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• 2023

In this paper, we propose a water temperature prediction method using feature extraction and reconstructed data based on LSTM-Autoencoder. We used multivariate time series data such as sea surface water temperature in the Naksan area of the East Sea where the cold water zone phenomenon occurred, and wind direction and wind speed that affect water temperature. Using the LSTM-Autoencoder model, we used three types of data: feature data extracted through dimensionality reduction of the original data combined with multivariate data of the original data, reconstructed data, and original data. The three types of data were trained by the LSTM model to predict sea surface water temperature and evaluated the accuracy. As a result, the sea surface water temperature prediction accuracy using feature extraction of LSTM-Autoencoder confirmed the best performance with MAE 0.3652, RMSE 0.5604, MAPE 3.309%. The result of this study are expected to be able to prevent damage from natural disasters by improving the prediction accuracy of sea surface temperature changes rapidly such as the cold water zone.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.1-10
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• 2023

Open surface water body extraction is gaining popularity in recent years due to its versatile applications. Multiple techniques are used for water detection based on applications. Different applications of Radar as LADAR, Ground-penetrating, synthetic aperture, and sounding radars are used to detect water. Shortwave infrared, thermal, optical, and multi-spectral sensors are widely used to detect water bodies. A stereo camera is another way to detect water and different methods are applied to the images of stereo cameras such as deep learning, machine learning, polarization, color variations, and descriptors are used to segment water and no water areas. The Satellite is also used at a high level to get water imagery and the captured imagery is processed using various methods such as features extraction, thresholding, entropy-based, and machine learning to find water on the surface. In this paper, we have summarized all the available methods to detect water areas. The main focus of this survey is on water detection especially in small patches or in small areas. The second aim of this survey is to detect water hazards for unmanned vehicles and off-sure navigation.

• Mass Spectrometry Letters
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• v.8 no.1
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• pp.18-22
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• 2017

Products containing any one or more of 26 fragrance allergens likely to cause contact allergies, are required under the 2008 domestic cosmetic law to be labeled when their concentrations exceed a certain range. This study focuses on the comparison and development of analytical methods based on headspace-solid phase micro extraction (HS-SPME) and liquid-liquid extraction (LLE) methods followed by GC-MS/MS for 24 of the fragrance allergens excepting for two natural materials in water samples. Using the developed HS-SPME method, 15 of the 24 fragrance allergens were analyzed and 9 compounds which have relatively low $logK_{OW}$ values (below about 2.5) were not extracted, and the correlation coefficient ($r^2$) of the calibration curve for quantification showed linearity of 0.9969 or more, and the method detection limits (MDL) and the limits of quantification (LOQ) were $0.078{\sim}0.582{\mu}g/L$ and $0.261{\sim}1.940{\mu}g/L$, respectively. In the case of using the optimized LLE method, all 24 fragrance allergens were analyzed, and the correlation coefficient ($r^2$) of the calibration curve for quantification showed linearity of 0.9957 or more, MDL and LOQ were $0.020{\sim}0.138{\mu}g/L$ and $0.065{\sim}0.440{\mu}g/L$, respectively.

• Korean Journal of Oriental Medicine
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• v.18 no.3
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• pp.147-154
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• 2012

Objectives : This study was performed to find best extraction solvent for application of Ulmi cortex to food or herbal medicine as an antioxidant only using water, ethanol and their mixtures. Methods : The Ulmi cortex extracts were prepared using water and 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100% (v/v) ethanol, and were evaluated yields, total polyphenol contents, DPPH and ABTS radical scavenging activities, lipid peroxidation activities, and catechin and epicatechin contents. Results : Among the Ulmi cortex extracts, the yield was highest in water extract (8.9%) and lowest in ethanol extract (3.8%). The yield of 30% ethanol extract (8.5%) also was very high to similar with water extract. The total polyphenol content was highest in the 30% ethanol extract ($253.6{\mu}g/mg$ extract) and lowest in water extract ($109.0{\mu}g/mg$ extract). The DPPH radical scavenging activity was highest in ethanol extract (IC50, $8.53{\mu}g/ml$), ABTS radical scavenging activity was highest in 60% ethanol extract (IC50, $3.08{\mu}g/ml$), and the inhibition of lipid peroxidation was highest in 70% ethanol extract (IC50, $7.96{\mu}g/ml$). As ethanol content of extraction solvent increased from 0% to 30%, the antioxidant activities were remarkably increased whereas from 30% to 100%, the antioxidant activities were increased or decreased a little. Conclusions : The findings of the present study suggest that 30% ethanol is best solvent for extraction of Ulmi cortex, considering yield, polyphenol content, and antioxidant activities with extraction cost.

• Bulletin of the Korean Chemical Society
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• v.32 no.3
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• pp.829-835
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• 2011

A dispersive liquid-liquid microextraction based on solidification of floating organic droplet (DLLME-SFO) has been developed as a new approach for the extraction of trace copper in water and beverage samples followed by the determination with flame atomic absorption spectrometry. In the DLLME-SFO, 8-hydroxy quinoline, 1-dodecanol, and methanol were used as chelating agent, extraction solvent and dispersive solvent, respectively. The experimental parameters related to the DLLME-SFO such as the type and volume of the extraction and dispersive solvent, extraction time, sample volume, the concentration of chelating agent and salt addition were investigated and optimized. Under the optimum conditions, the enrichment factor for copper was 122. The method was linear in the range from 0.5 to $300\;ng\;mL^{-1}$ of copper in the samples with a correlation coefficient (r) of 0.9996 and a limit of detection of $0.1\;ng\;mL^{-1}$. The method was applied to the determination of copper in water and beverage samples. The recoveries for the spiked water and beverage samples at the copper concentration levels of 5.0 and $10.0\;ng\;mL^{-1}$ were in the range between 92.0% and 108.0%. The relative standard deviations (RSD) varied from 3.0% to 5.6%.

• Advances in nano research
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• v.10 no.3
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• pp.295-312
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• 2021

A new ionic liquid functionalized magnetic silica nanoparticle was synthesized and characterized and tested as an adsorbent. The adsorbent was used for magnetic solid phase extraction on ICP-MS method. Simultaneous determination of precious metal Au has been addressed. The method is simple and fast and has been applied to standard water and surface water analysis. A new method for separation/analysis of trace precious metal Au by Magnetron Solid Phase Extraction (MSPE) combined with ICP-MS. The element to be tested is rapidly adsorbed on CoFe2O4@SiO2@[BMIM]PF6 composite nano-adsorbent and eluted with thiourea. The method has a preconcentration factor of 9.5-fold. This method has been successfully applied to the determination of gold in actual water samples. Hydrophobic Ionic Liquids (ILs) 1-butyl-3-methylimidazole hexafluorophosphate ([BMIM]PF6) coated CoFe2O4@SiO2 nanoparticles with core-shell structure to prepare magnetic solid phase extraction agent (CoFe2O4@SiO2@ILs) and establish a new method of MSPE coupled with inductively coupled plasma mass spectrometry for separation/analysis of trace gold. The results showed that trace gold was adsorbed rapidly by CoFe2O4@SiO2@[BMIM]PF6 and eluanted by thiourea. Under the optimal conditions, preconcentration factor of the proposed method was 9.5-fold. The linear range, detection limit, correlation coefficient (R) and relative standard deviation (RSD) were found to be 0.01~1000.00 ng·mL-1, 0.001 ng·mL-1, 0.9990 and 3.4% (n = 11, c = 4.5 ng·mL-1). The CoFe2O4@SiO2 nanoparticles could be used repeatedly for 8 times. This proposed method has been successfully applied to the determination of trace gold in water samples.

• The Korea Journal of Herbology
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• v.35 no.2
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• pp.31-38
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• 2020

Objectives : Jakyakgamcho-tang has been used as analgesic and spasmolytic for muscle pain. It has reported to anti-diabetes, anti-inflammation, and neuro-protective effects. A clinical study of muscle fatigue and pain improvement effect of Jakyakgamcho-tang has been reported with increasing frequency of clinical use. However, the anti-fatigue effect of Jakyakgamcho-tang in animal model has not been studied. In this study, we compared anti-physical fatigue effects of water and 30% ethanol extract of Jakyakgamcho-tang. Methods : The amounts of components contained in water and 30% ethanol extract of Jakyakgamcho-tang were compared by ultra-performance liquid chromatography. Anti-physical fatigue effects were evaluated using weight-loaded forced swimming test. We also investigated the effects of Jakyakgamcho-tang on the change of fatigue parameters by blood biochemical analysis. Results : The relative amount of components of Jakyakgamcho-tang were about 19-53% higher in the 30% ethanol extract than in the water extract. In the swimming test, 30% ethanol extract showed a significantly greater anti-fatigue effects than conventional water extract of Jakyakgamcho-tang. The 30% ethanol extract of Jakyakgamcho-tang improved the exhausted swimming time (54%), and serum lactate dehydrogenase (48%) and lactic acid (60%) levels compared with water extract of Jakyakgamcho-tang. Conclusions : These results showed that differences in the amounts of components by different extraction were associated with differences of anti-fatigue effect of Jakyakgamcho-tang. Thus, the 30% ethanol extraction method could be applied to dose-reducing formulations of traditional herbal medicines.

• Journal of the Korean Society of Food Culture
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• v.19 no.5
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• pp.499-505
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• 2004

The present study was conducted to investigate extraction characteristics and antioxidative activity of Cassia tora L. extracts. Cassia tora L. was extracted by reflux extraction under different extraction conditions including solvent. The solid yield, turbidity, color value, titratable acidity, free sugar contents, electron donating ability and superoxide dismutase-like ability of Cassia tora L. extracts were determined. The highest solid yield value was obtained with water of 10 fold. No significant difference in turbidity and color value were found among the extracts prepared with various extraction solvents, 75% ethanol, 50% ethanol and water. The highest titratable acidity was obtained with 50% ethanol of Cassia tora L.. The free sugar contents of Cassia tora L. extracted with water showed the highest value. Cassia tora L. extracts with water included higher contents of free sugar compared with then of the other solvent extracts, 50% ethanol and 75% ethanol extracts. The total polyphenol compound content of Cassia tora L. extracted with 50% ethanol showed the highest value. Cassia tora L. extracts with 50% ethanol included higher contents of total polyphenol compound compared with those of the other solvent extracts, water and 75% ethanol extracts.

• Korean Journal of Food Science and Technology
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• v.48 no.3
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• pp.296-300
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• 2016

The effect of different temperatures (45, 55, 65, and $75^{\circ}C$) on the extraction of ${\beta}$-glucan and the properties of extracted ${\beta}$-glucan were investigated with four different varieties of barley. Jeju naked barley, blue barley, beer barley, and black barley contained 6.85, 5.13, 3.58, and 4.16% of ${\beta}$-glucan, respectively. ${\beta}$-glucan in barley was extracted in the range of 64.88 to 93.84% depending on the extraction temperature and barley variety. The ${\beta}$-glucans in Jeju naked barley, Jeju blue barley, and black barley were optimally extracted at $65^{\circ}C$ for 3 h and Jeju beer barley at $75^{\circ}C$. The extracted ${\beta}$-glucan resolubilized to 43.48-81.73% and the ratio of ${\beta}(1{\rightarrow}3)$ to ${\beta}(1{\rightarrow}4)$ linkage was in the range of 1:3.8-5.8. These results suggest that purification and properties of ${\beta}$-glucan depend not only on the water extraction temperature, but also on the barley variety.

• Bulletin of the Korean Chemical Society
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• v.26 no.5
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• pp.781-785
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• 2005

A fast and reliable method for the selective separation and preconcentration of $Cu^{2+}$ ions using homogeneous liquid-liquid extraction was developed. A new $\alpha$-dioxime derivative (2H-1,4-benzothioazine-2,3(4H)dionedioxime, Dioxime I) was synthesized and investigated as a suitable selective complexing ligand for $Cu^{2+}$ ions. Zonyl FSA (FSA) was applied as a phase-separator agent under the slightly acidic pH conditions. Under the optimal experimental conditions ([FSA] = 3.2% w/v, [THF] = 19.5% v/v, [Dioxime I] = 1.9 ${\times}\;10^{-3}$ M, and pH = 4.7), 10 ${\mu}g\;of\;Cu^{2+}$ in 5.2 mL aqueous phase could be extracted quantitatively into 80 $\mu$L of the sedimented phase. The maximum concentration factor was 65-fold. The limit of detection of the proposed method was 0.005 ng $mL^{-1}$. The reproducibility of the proposed method, on the 10 replicate measurements, was 1.3%. The influence of the pH, type and volume of the water-miscible organic solvent, concentration of FSA, concentration of the complexing ligand and the effect of different diverse ions on the extraction and determination of $Cu^{2+}$ ions were investigated. The proposed method was applied to the extraction and determination of $Cu^{2+}$ ion in different synthetic and natural water samples.