• Korean Journal of Community Nutrition
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• v.5 no.4
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• pp.754-754
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• 2000

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.615-625
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• 2020

The document-term frequency matrix is a term extracted from documents in which the group information exists in text mining. In this study, we generated the document-term frequency matrix for document classification according to research field. We applied the traditional term weighting function term frequency-inverse document frequency (TF-IDF) to the generated document-term frequency matrix. In addition, we applied term frequency-inverse gravity moment (TF-IGM). We also generated a document-keyword weighted matrix by extracting keywords to improve the document classification accuracy. Based on the keywords matrix extracted, we classify documents using a deep neural network. In order to find the optimal model in the deep neural network, the accuracy of document classification was verified by changing the number of hidden layers and hidden nodes. Consequently, the model with eight hidden layers showed the highest accuracy and all TF-IGM document classification accuracy (according to parameter changes) were higher than TF-IDF. In addition, the deep neural network was confirmed to have better accuracy than the support vector machine. Therefore, we propose a method to apply TF-IGM and a deep neural network in the document classification.

• Journal of Radiation Protection and Research
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• v.36 no.4
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• pp.209-215
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• 2011

In order to investigate the soil-to-plant transfer factor (TF) of $^{99}Tc$ for Korean major upland crops (soybean, radish and Chinese cabbage), pot experiments were performed in a greenhouse. Soils were collected from four upland fields (two for soybean and two for radish and Chinese cabbage) around Gyeongju radioactive-waste disposal site. Three to four weeks before sowing, dried soils were mixed with a $^{99}Tc$ solution and the mixtures were put into pots and irrigated. TF values were expressed as the ratios of the $^{99}Tc$ concentrations in plants (Bq $kg^{-1}$-dry or fresh) to those in soils (Bq $kg^{-1}$-dry). There was no great difference in the TF value between soils. The TF values for soybean seeds were extremely lower than those for the straws, indicating a very low mobility of $^{99}Tc$ to seeds. As representative TF values of $^{99}Tc$, $1.8{\times}10^{-1}$, $1.2{\times}10^1$, $3.2{\times}10^2$ and $1.3{\times}10^2$ (for dry plants), arithmetic means for two soils, were proposed for soybean seeds, radish roots, radish leaves and Chinese cabbage leaves, respectively. In the case of the vegetables, proposals for fresh plants were also made. The proposed values are not sufficiently representative so successive updates are needed.

• Journal of the Korea Society of Computer and Information
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• v.25 no.8
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• pp.181-188
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• 2020

In this study, we propose a comparative study to confirm the impact of various word embedding techniques on the performance of sentiment analysis. Sentiment analysis is one of opinion mining techniques to identify and extract subjective information from text using natural language processing and can be used to classify the sentiment of product reviews or comments. Since sentiment can be classified as either positive or negative, it can be considered one of the general classification problems. For sentiment analysis, the text must be converted into a language that can be recognized by a computer. Therefore, text such as a word or document is transformed into a vector in natural language processing called word embedding. Various techniques, such as Bag of Words, TF-IDF, and Word2Vec are used as word embedding techniques. Until now, there have not been many studies on word embedding techniques suitable for emotional analysis. In this study, among various word embedding techniques, Bag of Words, TF-IDF, and Word2Vec are used to compare and analyze the performance of movie review sentiment analysis. The research data set for this study is the IMDB data set, which is widely used in text mining. As a result, it was found that the performance of TF-IDF and Bag of Words was superior to that of Word2Vec and TF-IDF performed better than Bag of Words, but the difference was not very significant.

• Phonetics and Speech Sciences
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• v.12 no.3
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• pp.73-83
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• 2020

Measured values may differ between Multi-Dimensional Voice Program (MDVP), Praat, and Time-Frequency Analysis software (TF32), all of which are widely used in voice quality analysis, due to differences in the algorithms used in each analyzer. Therefore, this study aimed to compare the values of parameters of normal voice measured with each analyzer. After tokens of the vowel sound /a/ were collected from 35 normal adult subjects (19 male and 16 female), they were analyzed with MDVP, Praat, and TF32. The mean values obtained from Praat for jitter variables (J local, J abs, J rap, and J ppq), shimmer variables (S local, S dB, and S apq), and noise-to-harmonics ratio (NHR) were significantly lower than those from MDVP in both males and females (p<.01). The mean values of J local, J abs, and S local were significantly lower in the order MDVP, Praat, and TF32 in both genders. In conclusion, the measured values differed across voice analyzers due to the differences in the algorithms each analyzer uses. Therefore, it is important for clinicians to analyze pathologic voice after understanding the normal criteria used by each analyzer when they use a voice analyzer in clinical practice.

• The Korea Journal of Herbology
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• v.32 no.2
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• pp.107-114
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• 2017

Objectives : Tribulus terrestris $Linn{\acute{e}}$ (Tribuli Fructus; TF) has been used to treat hypochondrium, agalactia, nebula, itching and vitiligo in traditional Korean medicine. In this study, we investigated the effects of TF 30% ethanol extract on inflammatory responses in IgE-stimulated RBL-2H3 mast cells. Methods : TF extract was prepared by 30% ethanol. RBL-2H3 cells, a rat mast cell line, were treated with TF extract at different concentrations for 1 hr and then stimulated with DNP-IgE/HSA for indicated times. Cell viability was measured by WST-1 assay. The expression of inflammatory cytokines (IL-4, IL-13 and $IFN-{\gamma}$) mRNA was determined by reverse transcriptase-PCR, and the phosphorylation of ERK1/2, p38 and JNK MAP kinases (MAPKs) was determined by Western blot. The nuclear expression of $NF-{\kappa}B$ p65 in the cells was detected by Western blot and immunocytochemistry, respectively. Results : The treatment of TF extract at 0.1 and $0.2mg/m{\ell}$ significantly decreased the expression of IL-4 and IL-13 mRNA in IgE-stimulated RBL-2H3 mast cells, while significantly increased the expression of $IFN-{\gamma}$ mRNA. TF extract treatment was also inhibited the phosphorylation of ERK1/2, p38 and JNK MAPKs in IgE-stimulated RBL-2H3 mast cells in a dose-dependent manner. In addition, TF extract significantly blocked the translocation of $NF-{\kappa}B$ p65 into the nuclear of cells after IgE stimulation. Conclusions : These results indicate that TF extract inhibits inflammatory response in IgE-stimulated mast cells through blocking MAPKs/$NF-{\kappa}B$ pathway. This suggests that TF extract has an anti-inflammatory activity in mast cell activation.

• The Korea Journal of Herbology
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• v.24 no.3
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• pp.153-160
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• 2009

Objectives : The purpose of this study was to investigate the anti-inflammatory effects of extract from Trogopterorum Faeces (TF) on the RAW 264.7 cells. Methods : To prove the TF's anti-inflammatory effects, we investigated nitric oxide (NO) production and own cell viability. We examined the cytokine productions on lipopolysacchride (LPS)-induced RAW 264.7 cells and also cellular regulatory mechanisms. Results : TF does not have any cytotoxic effect. TF reduced LPS-induced NO production, interleukin (IL)-1b, IL-6, IL-10 and tumor necrosis factor-a (TNF-a) in RAW 264.7 cells. TF inhibited the activation of mitogen-activated protein kinases (MAPKs) such as p38, extracelluar signal-regulated kinase (ERK 1/2) and c-Jun NH2-terminal kinase (JNK) and also the degradation of inhibitory kappa B a (Ik-Ba) in the LPS-stimulated RAW 264.7 cells. TF reduced the serum levels of IL-1b, IL-6, TNF-a. The survival rate of LPS-induced endotoxin shock was increased by TF administration. Conclusions : TF down-regulated LPS-induced NO and cytokines production, which could provide a clinical basis for anti-inflammatory properties.

• Journal of Digital Contents Society
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• v.19 no.3
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• pp.529-535
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• 2018

Data is explosively growing, but many companies are still using data analysis only for descriptive analysis or diagnostic analysis, and not appropriately for predictive analysis or enterprise technology strategy analysis. In this study, we analyze the structured & unstructured patent data such as IPC code, inventor, filing date and so on by using big data analysis techniques such as network analysis and TF-IDF. Through this analysis, we propose analysis process to understand the core technology and technology distribution of competitors and prove it through data analysis.

• Journal of the korean academy of Pediatric Dentistry
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• v.45 no.2
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• pp.235-241
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• 2018

In this study, total fluoride (TF) in commercial toothpastes for children in Korea was evaluated and compared with the fluoride concentration declared by the manufacturer (Declared F). Additionally, total soluble fluoride (TSF) was evaluated and compared with TF. Ten toothpastes were coded with letters to allow blind analysis. For evaluation of TF, each toothpaste was homogenized in deionized water. For evaluation of TSF, each toothpaste was centrifuged and then, the supernatant of the sample was evaluated. Fluoride concentrations were assessed using a fluoride electrode coupled to an ion analyzer. Only one toothpaste showed lower TF concentration than Declared F. In all toothpastes, TSF was similar to the TF.

• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.2
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• pp.78-85
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• 2003

This study aims to investigate the effect of partially distributed loads on the static behavior of parabolic arches by using the elastic-plastic finite element model. For this purpose, the vertical, the radial, and the anti-symmetric load cases are considered, and the ratio of loading range and arch span is increased from 20% to 100%. Also, the elastic-visco-plastic analysis has been carried out to estimate the elapse time to reach the stable state of arches when the ultimate load obtained by the finite element analysis is applied. It is noted that the ultimate load carrying capacities of parabolic arches are 6.929 tf/$m^2$ for the radial load case, and 8.057 tf/$m^2$ for the vertical load case. On the other hand, the ultimate load is drastically reduced as 2.659 tf/$m^2$ for the anti-symmetric load case. It is also shown that the maximum ultimate load occurs at the full ranging distributed load, however, the minimum ultimate loads of the radial and vortical load cases are obtained by 2.336 tf/$m^2$, 2.256 tf/$m^2$, respectively, when the partially distributed load is applied at the 40% range of full arch span.