• The Transactions of the Korean Institute of Electrical Engineers C
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• 제50권3호
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• pp.121-129
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• 2001

In this paper, a new efficient feature extraction method based on Daubechies discrete wavelet transform is presented. This paper especially deals with the assessment of process statistical parameter using the features extracted from the wavelet coefficients of measured acoustic emission signals. Since the parameter assessment using all wavelet coefficients will often turn out leads to inefficient or inaccurate results, we selected that level-3 stage of multi decomposition in discrete wavelet transform. We make use of the feature extraction parameter namely, maximum value of acoustic emission signal, average value, dispersion, skewness, kurtosis, etc. The effectiveness of this new method has been verified on ability a diagnosis transformer go through feature extraction in stage of aging(the early period, the middle period, the last period)

• Biotechnology and Bioprocess Engineering:BBE
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• 제9권3호
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• pp.207-211
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• 2004

Predispersed solvent extraction (PDSE) of succinic acid with Tri-n-octylamine (TOA) dissolved in 1-octanol from aqueous solutions of 50 g/L succinic acid was examined. It was found that the equilibrium data in PDSE was equal to that in conventional solvent extraction in spite of the lack of mechanical mixing in PDSE. The influence of salts on succinic acid extraction and the stability of colloidal liquid aphrons (CLAs) were also investigated. Results indicated that in the presence of sodium chloride, less succinic acid was extracted by CLAs and the stability of CLAs decreased. However, the stability of CLAs was sufficient to make PDSE practically applicable to real fermentation broth, considering the concentration range of salts in the fermentation process for succinic acid.

• Journal of the Korean Institute of Telematics and Electronics
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• 제18권2호
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• pp.36-43
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• 1981

This paper describes a met hod of the extraction of phonemes in Hangout recognition. We provide the direction of strokes aid positional information for analyzing the structure of characters based on the regular combinational rules of Hangout according to Top -Down processing, and show the process of Phoneme extraction seq uencially. In this paper, some processing algorithms are described and simulated. The experiment of the phoneme extraction is carried out for 677 characters actully used daily, and extraction rate of 96% is obtained. The experimental results demonstrate the effectiveness of the proposed method.

• Environmental Engineering Research
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• 제23권2호
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• pp.175-180
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• 2018

Box-Behnken Design (BBD) under response surface methodology (RSM) was implemented to optimization the operating parameters and assess the removal and recovery efficiencies of crude oil from contaminated soil using subcritical water extraction. The effects of temperature, extraction time and water flow rate were explored, and the results indicate that temperature has a great impact on crude oil removal and recovery. The correlation coefficients for oil removal ($R^2=0.74$) and recovery ($R^2=0.98$) suggest that the proposed quadratic model is useful. When setting the target removal and recovery (>99%), BBD-RSM determined the optimum condition to be a temperature of $250^{\circ}C$, extraction time of 120 min, and water flow rate of 1 mL/min. An experiment was carried out to confirm the results, with removal and recovery efficiencies of 99.69% and 87.33%, respectively. This result indicates that BBD is a suitable method to optimize the process variables for crude oil removal and recovery from contaminated soil.

• Journal of the Korean Institute of Telematics and Electronics B
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• 제31B권6호
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• pp.104-110
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• 1994

We proposed a high speed feature extraction algorithm and developed a feature vector extraction chip for high speed character recognition. It is hard to implement a high speed OCR by software alone with statistical method . Thus, the whole recognition process is divided into functional steps, then pipeline processed so that high speed processing is possible with temporal parallelism of the steps. In this paper we discuss the feature extraction step of the functional steps. To extract feature vector, a character image is normalized to 40$\times$40 pixels. Then, it is divided into 5$\times$5 subregions and 4x4 subregions to construct 41 overlapped subregions(10x10 pixels). It requires to execute more than 500 commands to extract a feature vector of a subregion by software. The proposed algorithm, however, requires only 10 cycles since it can extract a feature vector of a columm of subregion in one cycle with array structure. Thus, it is possible to process 12.000 characters per second with the proposed algorithm. The chip is implemented using EPLD and the effectiveness is proved by developing an OCR using it.

• Nuclear Engineering and Technology
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• 제54권5호
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• pp.1560-1569
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• 2022

Liquid fueled molten salt reactors (MSRs) have seen renewed interest because of their inherent safety features, higher thermal efficiency and potential for efficient thorium utilisation for power generation. Thorium fluoride is one of the salts used in liquid fueled MSRs employing Th-U cycle. In the present study, ThF₄ was prepared by hydro-fluorination of ThO₂ using anhydrous HF gas. Process parameters viz. bed depth, hydrofluorination time and hydrofluorination temperature, were optimized for the preparation of ThF₄ in a static bed reactor setup. The products were characterized with X-Ray diffraction and experimental conditions for complete conversion to ThF₄ were established which also corroborated with the yield values. Hydrofluorination of ThO₂ at 450 ℃ for half an hour at a bed depth of 6 mm gave the best result, with a yield of about 99.36% ThF₄. No unconverted oxide or any other impurity was observed. Rietveld refinement was performed on the XRD data of this ThF₄, and Chi2 value of 3.54 indicated good agreement between observed and calculated profiles.

• Journal of Navigation and Port Research
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• 제28권5호
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• pp.463-468
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• 2004

A lab-scale fundamental study to develop the solvent extraction process of ship wash wastewater containing TBT was carried out. For various solvents, including diesels for car and ship, bunker B, thinner, toluene, and ether, the extraction efficiencies of TBT from synthetic ship wash wastewater were compared The effect of extraction conditions, such as solvent amount, time and intensity of agitation, and pH, on the extraction efficiency of TBT was evaluated Diesel for ship showed better extraction efficiency of TBT than those of other tested solvents, and the proper amount of the extraction solvent for 1L of the wastewater was l0mL. When the agitation intensity was increased from 50rpm to 250rpm, the TBT remained in the wastewater after the extraction was decreased from around 120ppb to 2.8ppb. The remaining TBT in the wastewater was sharply decreased from 1hr of the extraction time, but was slightly increased again after 5hrs of the extraction time. The efficiency of TBT extraction was good in the weak acid range of pH, but was not significant as much as the others.

• KSBB Journal
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• 제25권5호
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• pp.437-442
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• 2010

The objective of this study was to investigate the effect of ultrasound on the extraction of oil from canola seeds when supercritical carbon dioxide ($SCCO_2$) was used as an extraction solvent. The ultrasound-assisted $SCCO_2$ extraction were carried out while varying such operating parameters as particle size of crushed canola seed, flow rate of $SCCO_2$, aspect ratio of the extraction vessel, and ultrasound power. The extraction rate decreased with increasing particle size of samples, showing a maximun at a $CO_2$ flow rate of 6.2 L/min. Both the extraction rate and extraction yield increased with a decrease in the aspect ratio of the extraction vessel. For the ultrasoundassisted $SCCO_2$ extraction, the extraction yield was slightly increased when the $CO_2$ flow rate was below 6 mL/min with sample A and B.

• Journal of Soil and Groundwater Environment
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• 제17권1호
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• pp.42-46
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• 2012

The ISO document of ISO/TC/190/SC3/WG11/N11 is a working draft of international standard (WD) dealing with analytical method for the determination of explosives and related compounds using high performance liquid chromatography. The scope of this WD covers the storage of samples, preparing test portion, extraction and instrumentation. The main purpose of this study was to improve the extraction conditions which were already adopted in the WD. For this purpose, mechanical shaking method could be corresponded up to 18 hours of ultrasonic bath extraction in the WD was tested. Methanol was also tested with the intention of being added as an extracting solvent other than acetonitrile in the WD. According to the results, 16 hours of mechanical shaking method showed statistically the same effectiveness as that of 18 hours of ultrasonic bath extraction. In case of extracting solvent, methanol also showed statistically the same extraction capability as acetonitrile for DNB, TNT, 2-A-DNT and 2,4-DNT. However, the recovery rate of TNB with methanol extraction was 40% higher than that of acetonitrile extraction. Through adding mechanical shaking method into committee draft (cf. the next stage draft of the WD during the process for making international standard), ISO standard of analyzing explosives and related compounds in soil would become more useful in dealing with huge number of field samples in the laboratory. In other aspect, adopting methanol as an alternative extracting solvent would be very effective in the terms of exchangeability with GC-ECD/MS method which is being developed by German experts.

• Journal of the Korean Society for Precision Engineering
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• 제31권11호
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• pp.1031-1040
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• 2014

In this paper, a new condition diagnosis algorithm for the lens injection molding process using various features extracted from cavity pressure, nozzle pressure and screw position signals is developed with the aid of probability neural network (PNN) method. A new feature extraction method is developed for identifying five (5), seven (7) and two (2) critical features from cavity pressure, nozzle pressure and screw position signals, respectively. The node energies extracted from cavity and nozzle pressure signals are also considered based on wavelet packet decomposition (WPD). The PNN method is introduced to build the condition diagnosis model by considering the extracted features and node energies. A series of the lens injection molding experiments are conducted to validate the model, and it is demonstrated that the proposed condition diagnosis model is useful with high diagnosis accuracy.