• Korean Chemical Engineering Research
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• 제43권3호
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• pp.380-386
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• 2005

유기 붕산계 화합물과 4차 암모늄염의 혼합물을 추출제로 사용하여 에멀젼형 액막법에 의한 과당과 포도당의 분리가 회분식 반응기에서 이루어졌다. 당 분리를 위해 적합한 추출제와 최적의 실험조건을 찾기 위하여 각 당에 대하여 독립적으로 추출 실험이 수행되었다. 원료상의 당 농도, 붕산계 화합물 종류와 w/o 비와 같은 여러 변수들이 과당과 포도당 분리에 미치는 영향이 조사되었으며, 이때 원료상과 회수상에서의 최종 당 농도가 분석되었다. 원료상에서의 과당/포도당 추출률 비는 매우 높았지만, 회수상에서의 당 농도는 높지 않았다. 상업적인 당 분리를 위한 에멀젼형 액막 시스템 개발을 위해 보다 회수상으로 과당의 역추출을 강하게 추진할 수 있는 염을 찾는 것이 요구되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4126-4142
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• 2015

Finger vein recognition is a biometric technology using finger veins to authenticate a person, and due to its high degree of uniqueness, liveness, and safety, it is widely used. The traditional Symmetric Local Graph Structure (SLGS) method only considers the relationship between the image pixels as a dominating set, and uses the relevant theories to tap image features. In order to better extract finger vein features, taking into account location information and direction information between the pixels of the image, this paper presents a novel finger vein feature extraction method, Multi-Orientation Weighted Symmetric Local Graph Structure (MOW-SLGS), which assigns weight to each edge according to the positional relationship between the edge and the target pixel. In addition, we use the Extreme Learning Machine (ELM) classifier to train and classify the vein feature extracted by the MOW-SLGS method. Experiments show that the proposed method has better performance than traditional methods.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (B)
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• pp.22-27
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• 2007

Phosphorylation is one of the most important post translational modifications which regulate the activity of proteins. The problem of predicting phosphorylation sites is the first step of understanding various biological processes that initiate the actual function of proteins in each signaling pathway. Although many prediction methods using single or multiple features extracted from protein sequences have been proposed, systematic data integration approach has not been applied in order to improve the accuracy of predicting general phosphorylation sites. In this paper, we propose an optimal way of integrating multiple features in the framework of multiple kernel learning. We optimally combine seven kernels extracted from sequence, physico-chemical properties, pairwise alignment, and structural information. Using the data set of Phospho. ELM, the accuracy evaluated by 5-fold cross-validation reaches 85% for serine, 85% for threonine, and 81% for tyrosine. Our computational experiments show significant improvement in the performance of prediction relative to a single feature, or to the combined feature with equal weights. Moreover, our systematic integration method significantly improves the prediction preformance compared with the previous well-known methods.

• Membrane and Water Treatment
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• 제6권4호
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• pp.277-292
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• 2015

The extraction of lactic acid by an emulsion liquid membrane (ELM), in batch and continuous mode, has been reported. On the basis of preliminary experiments, the optimum composition of the organic phase (membrane) is determined. When the SPan 80 is used as surfactant, the emulsion breakage exceeds 50%, but only 10% is obtained when the ECA4360 is used. The effects of surfactant, carrier and solute concentrations, phase volume ratio, and stirring speed on the extraction yield were examined and optimized. Surfactant, carrier and diluent used were ECA4360, trilaurylamine (TLA) and dodecane, respectively; 2-ethylhexane-1,3-diol (EHD) is used as a co-surfactant. Under optimal conditions, emulsion breaking is very low and the swelling is kept at its lowest level. Under the pH conditions of fermentation medium, the extraction yield is lower. A mixer-settler continuous system was used for testing these conditions. The residence time, the number of extraction stages and the stability of the emulsion were studied and optimized. The extraction yield obtained exceeds 90%.

• Membrane and Water Treatment
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• 제10권5호
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• pp.361-372
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• 2019

Effect of different alkane based solvents on the stability of emulsion liquid membrane was investigated using normal alkanes (n-hexane, n-heptane, n-octane and n-decane) under various operating parameters of surfactant concentration, emulsification time, internal phase concentration, volume ratio of internal phase to organic phase, volume ratio of emulsion phase to external phase and stirring speed. Results of stability revealed that emulsion liquid membrane containing n-octane as solvent and span-80 (5 % (w/w)) as emulsifying agent presented the highest amount of emulsion stability (the lowest breakage) compared with other solvents; however, operating parameters (surfactant concentration (5% (w/w)), emulsification time (6 min), internal phase concentration (0.05 M), volume ratio of internal phase to organic phase (1/1), volume ratio of emulsion phase to external phase (1/5) and stirring speed (300 rpm)) were also influential on improving the stability (about 0.2% breakage) and on achieving the most stable emulsion. The membrane with the highest stability was employed to extract acridine orange with various concentrations (10, 20 and 40 ppm) from water. The emulsion liquid membrane prepared with n-octane as the best solvent almost removed 99.5% of acridine orange from water. Also, the prepared liquid membrane eliminated completely (100%) other cationic dyes (methylene blue, methyl violet and crystal violet) from water demonstrating the efficacy of prepared emulsion liquid membrane in treatment of dye polluted waters.

• 품질경영학회지
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• 제49권2호
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• pp.171-181
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• 2021

Purpose: This study aims to identify effective ways to induce water resources conservation for general water consumers. Methods: In order to find the core factors to motivate water saving behavior for general consumers, this study utilized the theory of reasoned action which is well known as one of the most frequently used theory in consumer's green behavior analysis. Results: Among six hypothesized relationships in the research model four were proved to be statistically significant. The relationship between attitude toward water savings and the water saving behavior was found to be significant but only through the behavioral intention. Conclusion: Consumers with positive attitude on water conservation will practice water saving behavior with behavioral intention. However, consumers only with high knowledge on water conservation naturally and habitually practice water saving behavior without recognizing the intention to save the water. Thus, both positive attitude on the water conservation and subjective norm must be satisfied since the two factors tend to lead to actual green behavior using different psychological routes.

• Journal of Information Processing Systems
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• 제19권2호
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• pp.149-163
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• 2023

Affected by external factors, errors in time series data collected by sensors are common. Using the traditional method of constraining the speed change rate to clean the errors can get good performance. However, they are only limited to the data of stable changing speed because of fixed constraint rules. Actually, data with uneven changing speed is common in practice. To solve this problem, an online cleaning algorithm for time series data based on dynamic speed change rate constraints is proposed in this paper. Since time series data usually changes periodically, we use the extreme learning machine to learn the law of speed changes from past data and predict the speed ranges that change over time to detect the data. In order to realize online data repair, a dual-window mechanism is proposed to transform the global optimal into the local optimal, and the traditional minimum change principle and median theorem are applied in the selection of the repair strategy. Aiming at the problem that the repair method based on the minimum change principle cannot correct consecutive abnormal points, through quantitative analysis, it is believed that the repair strategy should be the boundary of the repair candidate set. The experimental results obtained on the dataset show that the method proposed in this paper can get a better repair effect.

• 디지털콘텐츠학회 논문지
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• 제19권4호
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• pp.649-659
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• 2018

본 논문은 정교화 가능성 모델을 채택하여 타오바오 라이브 스트리밍 쇼핑에서 제품 구매 의도에 영향을 미치는 요소에 대해 연구하였다. 설문 조사 방법을 사용하여 데이터를 수집하고 가설을 조사하였다. 연구 결과 출처 매력은 실용적인 제품보다 쾌락제품에서 제품에 대한 태도에 더 큰 영향을 미쳤고, 논증 품질은 실용적인 제품에서 쾌락 제품보다 제품에 대한 태도에 더 큰 영향을 미쳤다. 추가 분석에서, 쾌락 제품에 대하여, 출처 매력과 논증 품질은 모두 제품에 대한 태도에 긍정적인 영향을 미치고, 논증 품질은 제품에 대한 태도에 긍정적인 영향을 미치지만, 출처 매력은 실용적 제품에 대한 태도에 유의한 영향을 미치지 않았다. 마지막으로, 제품에 대한 태도는 제품 구매 의도에 긍정적인 영향을 미치는 것으로 나타났다.

• 동아시아식생활학회지
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• 제14권3호
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• pp.175-186
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• 2004

The “Jeungbosallimgyeongje” was literature reviewed about the manufacture of Korean sauces. Furthermore, in order to investigate the changes made by time period, other literatures, “Eumsigdimibang(1670s)”, “Sallimgyeongje(1715)”, “Gyuhapchongseo(1815)” and “Choson­mussangyorijebeop(1930)”, were compared. The ingredients mentioned included soy beans, flour, barley, elm trees, red beans and blue beans, etc. In addition, the shapes and sizes of dried soybean paste brick were varied. “Manchojang”, which designated the kind of hot pepper paste, appeared in this book for the first time. During its manufacturing process, it was characteristic to add dried bean paste, sea kelp and fish to produce a novel and higher quality product. From the above mentioned books, we found out that Koreans used only the soybeans and Chinese a mixture of buckwheat, flour and barley in addition to soybeans to make their traditional sauces. According to the“ Gyuhapchongseo” , there was a slight difference in ingredients to add for the manufacture of fish sauce, but the manufacturing methods and the one year period needed for maturing the ingredients were the same.. However, in the “Chosonmussangsinsikyrijebop”, fish sauce and meat sauce were classified separately and their manufacturing methods were different as well. In conclusion, the ingredients of used for the sauces recorded in “Jeungbosallimgyeongje” were various and at first hot pepper sauce made from “Manchojang” appeared and additionally red peppers were added to five kinds of Korean paste and red pepper powder were added to two kinds of Korean paste. The manufacturing method of the sauces changed according to time period, for example, only soybean has been used in Korean traditional sauces and other ingredients used as for Chinese ones eventually disappeared.

• The Plant Pathology Journal
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• 제18권2호
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• pp.98-101
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• 2002

Using phytoplasma universal primer pair Pl and P7, a fragment of about 1.8 kb nucleotide sequences of 16S rRNA gene and 16S-23S rRNA intergenic spacer region, and a portion of 23S rRNA gene of jujube witches'broom (JWB) and mulberry dwarf(MD) phytoplasmas were determined. The nucleotide sequences of JWB and MD were 1,850 bp and 1,831 bp long, respectively. The JWB phytoplasma sequence was aligned with the homologous sequence of MD phytoplasma. Twenty-eight base insertions and nine base deletions were found in the JWB phytoplasma sequence compared with that of MD phytoplasma. The similarity of the aligned sequences of JWB and MD was 84.8%. The near-complete 16S rRNA gene DNA sequences of JWB and MD were 1,529 bp and 1,530 bp in length, respectively, and revealed 89.0% homology. The 16S-23S rRNA intergenic spacer region DNA sequences were 263 bp and 243 bp in lengths respectively, while homology was only 70% and the conserved tRNA-lle gene of JWB and MD was located into the intergenic space region between 16S-23S rRNA gene. The nucleotide sequences were 77 bp long in both JWB and MD, and showed 97.4% sequence homology. Based on the phylogenetic analysis of the two phytoplasmas, the JWB phytoplasma belongs to the Elm yellow phytoplasma group (16S rV), whereas, the MD phytoplasma belongs to the Aster yellow group (16S rI).