• Journal of Digital Convergence
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• v.12 no.10
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• pp.577-585
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• 2014

The cosmetic and stimulating effects of lemon oil have been widely proven in the fields of beauty therapy and psychology therapy. But the lemon oil's proper effects on the anti asthma and the anti inflammation have not rarely been verified. This study was conducted to find out the lemon oil's effects on the anti asthma and anti inflammation in the OVA-induced allergic asthma mice model. OVA-induced allergic asthma mice were divided into 4 groups consisting of normal group, control group, positive control group and experimental group. 0.3% of lemon oil was nebulized to experimental group for 3 weeks on a basis of 3 times per week and 30 min each time. After 6 weeks from the initial experiment, the degree of hyper activeness of respiratory system, the hematological change, the amount of the cytokein in serum, the change of airway organization were evaluated. The results showed that lemon oil controled effectively the hyper activeness of respiratory system and restricted the multiplication of cells in acidophil in terms of statistical significance. It also turned out that lemon oil restricted effectively the infection of airway reaction and the hyper sensitiveness of respiratory system by controlling the creation of histamine(cytokein) and IgE.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.789-795
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• 2020

Many deaths have been reported due to the worldwide pandemic of COVID-19. In order to prevent the further spread of COVID-19, it is necessary to quickly and accurately read images of suspected patients and take appropriate measures. To this end, this paper introduces a deep learning-based COVID-19 chest X-ray reading technique that can assist in image reading by providing medical staff whether a patient is infected. First of all, in order to learn the reading model, a sufficient dataset must be secured, but the currently provided COVID-19 open dataset does not have enough image data to ensure the accuracy of learning. Therefore, we solved the image data number imbalance problem that degrades AI learning performance by using a Stacked Generative Adversarial Network(StackGAN++). Next, the DenseNet-based classification model was trained using the augmented data set to develop the reading model. This classification model is a model for binary classification of normal chest X-ray and COVID-19 chest X-ray, and the performance of the model was evaluated using part of the actual image data as test data. Finally, the reliability of the model was secured by presenting the basis for judging the presence or absence of disease in the input image using Grad-CAM, one of the explainable artificial intelligence called XAI.

• Journal of Ginseng Research
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• v.41 no.3
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• pp.353-360
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• 2017

Background: Endophytic fungi play an important role in balancing the ecosystem and boosting host growth. In the present study, we investigated the endophytic fungal diversity of healthy Panax notoginseng and evaluated its potential antimicrobial activity against five major phytopathogens causing root-rot of P. notoginseng. Methods: A culture-dependent technique, combining morphological and molecular methods, was used to analyze endophytic fungal diversity. A double-layer agar technique was used to challenge the phytopathogens of P. notoginseng. Results: A total of 89 fungi were obtained from the roots, stems, leaves, and seeds of P. notoginseng, and 41 isolates representing different morphotypes were selected for taxonomic characterization. The fungal isolates belonged to Ascomycota (96.6%) and Zygomycota (3.4%). All isolates were classified to 23 genera and an unknown taxon belonging to Sordariomycetes. The number of isolates obtained from different tissues ranged from 12 to 42 for leaves and roots, respectively. The selected endophytic fungal isolates were challenged by the root-rot pathogens Alternaria panax, Fusarium oxysporum, Fusarium solani, Phoma herbarum, and Mycocentrospora acerina. Twenty-six of the 41 isolates (63.4%) exhibited activity against at least one of the pathogens tested. Conclusion: Our results suggested that P. notoginseng harbors diversified endophytic fungi that would provide a basis for the identification of new bioactive compounds, and for effective biocontrol of notoginseng root rot.

• Journal of Ginseng Research
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• v.41 no.3
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• pp.339-346
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• 2017

Background: In this study, we investigated how to convert the Panax ginseng DNA sequence code and chemical fingerprints into a two-dimensional code. In order to improve the compression efficiency, GATC2Bytes and digital merger compression algorithms are proposed. Methods: HPLC chemical fingerprint data of 10 groups of P. ginseng from Northeast China and the internal transcribed spacer 2 (ITS2) sequence code as the DNA sequence code were ready for conversion. In order to convert such data into a two-dimensional code, the following six steps were performed: First, the chemical fingerprint characteristic data sets were obtained through the inflection filtering algorithm. Second, precompression processing of such data sets is undertaken. Third, precompression processing was undertaken with the P. ginseng DNA (ITS2) sequence codes. Fourth, the precompressed chemical fingerprint data and the DNA (ITS2) sequence code were combined in accordance with the set data format. Such combined data can be compressed by Zlib, an open source data compression algorithm. Finally, the compressed data generated a two-dimensional code called a quick response code (QR code). Results: Through the abovementioned converting process, it can be found that the number of bytes needed for storing P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can be greatly reduced. After GTCA2Bytes algorithm processing, the ITS2 compression rate reaches 75% and the chemical fingerprint compression rate exceeds 99.65% via filtration and digital merger compression algorithm processing. Therefore, the overall compression ratio even exceeds 99.36%. The capacity of the formed QR code is around 0.5k, which can easily and successfully be read and identified by any smartphone. Conclusion: P. ginseng chemical fingerprints and its DNA (ITS2) sequence code can form a QR code after data processing, and therefore the QR code can be a perfect carrier of the authenticity and quality of P. ginseng information. This study provides a theoretical basis for the development of a quality traceability system of traditional Chinese medicine based on a two-dimensional code.

• Food Science and Preservation
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• v.20 no.2
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• pp.151-157
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• 2013

This study was conducted to investigate the effect of mature stages on quality of Rafito tomatoes (Lycopersicon esculentum Mill.) during storage at low temperature. Tomatoes grown in greenhouse were harvested at three different mature stages (turning, pink, and red), packaged with a 30-${\mu}m$-thick polyethylene film, and then stored at 5 and $10^{\circ}C$, respectively. The changes in firmness, soluble solids content (SSC), titratable acidity (TA), colour, lycopene content, decay, and chilling injury were measured on a weekly basis. After three weeks of storage, chilling injury and decay were found to have individually occurred at 5 and $10^{\circ}C$, respectively. As there was little change in quality at $5^{\circ}C$, it was concluded that red tomatoes could maintain their good quality for two weeks. The normal postharvest ripening was inhibited in the turning and pink tomatoes during storage at $5^{\circ}C$. The turning and pink tomatoes showed improved quality after two-week storage at $10^{\circ}C$. In particular, the turning fruits showed the highest firmness throughout the storage period. Furthermore, the red colour, SSC/TA, and lycopene content of the turning fruits reached the same levels as with the red fruits after two-week storage at $10^{\circ}C$. These results suggest that red tomatoes should be stored at $5^{\circ}C$ to inhibit decay, and that the optimum temperature for early-harvested tomato (turning and pink) is $10^{\circ}C$ for the ripening process after harvest.

• Fire Science and Engineering
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• v.34 no.3
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• pp.67-75
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• 2020

In this study, the risk of heat generation due to normal and overload currents that vary with the abnormal loosening angle of wire-connecting bolts were identified. The risks were analyzed based on the thermal characteristics to minimize the carbonization accidents of terminal blocks inside distribution panels typically used in industrial sites. We applied a method for measuring the heating temperature and temperature variations in the terminal blocks in real-time by installing a resistance temperature detector sensor board in the terminal block. The experimental results showed that the terminal block model with a low-rated current exhibited a higher heating temperature, thus, confirming the need to select the terminal block capacity based on load currents. Additionally, the higher the rated current of the terminal block with a high-rated current and the higher the degree of loosening, the faster the carbonization point. Such heating temperature monitoring enabled real-time thermal temperature measurement and a step-by-step risk level setting through thermal analysis. The results of the measurement and analysis of carbonization risks can provide a theoretical basis for further research regarding the risk of fire due to carbonization. Furthermore, the deterioration measurement method using the temperature sensor board developed in this study is widely applicable to prevent fires caused by poor electrical contact as well as risk-level management.

• Tuberculosis and Respiratory Diseases
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• v.68 no.2
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• pp.87-92
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• 2010

Background: D-dimer testing is widely applied as a first step in the diagnostic work-up of pulmonary embolism (PE). Although this is the most sensitive assay for ruling out PE, the prognostic implications of D-dimer testing in patients with normotensive PE are not well known. The aim of this study was to determine if D-dimer testing on admission predicts major adverse cardiac events (MACE) in patients with normotensive PE. Methods: A total of 180 consecutive patients with normotensive PE admitted between January 2003 and June 2009 were included. The group was divided into quartiles on the basis of their D-dimer levels. We compared the frequency of MACE by quartile of D-dimer level and estimated sensitivity, specificity, and predictive values for MACE in the first and fourth quartile. Results: In the 37 (20.6%) patients with MACEs, the median D-dimer level (7.94[IQR:4.03~18.17]${\mu}g/mL$) was higher than in patients with a benign course (5.29[IQR:2.60~11.52]${\mu}g/mL$, p<0.01). The occurrence of MACEs was increased with increasing D-dimer level (p=0.017). In the first quartile (D-Dimer <$2.76{\mu}g/mL$) sensitivity, specificity, and positive and negative predictive values for predicting MACEs were, respectively, 91.9%, 29.4%, 25.2%, and 93.3%. Conclusion: Patients with D-dimer levels below $2.76{\mu}g/mL$ have a low risk of MACEs. Our study suggest that D-dimer level may be used to identify low risk patients with normotensive PE.

• Journal of Korean Foot and Ankle Society
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• v.2 no.1
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• pp.19-29
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• 1998

The characteristics of the patients after the calcaneal fracture that were associated with an unsatisfactory outcome were subtalar incongruity, decreased Bohler angle ratio of the fractured to the normal side, an age of more than fifty years, work involving strenuous labor, and increased time missed from work due to the injury. The purpose of this study was to examine the reliability of measurements of the range of motion of the subtalar joint. To determine reliability, evaluates of the correlatioinship between the degree of the displacement of the subtalar joint and Circle draw test after the calcaneal fracture. Fifty patients who had had fifty five calcaneal fractures were managed with open reduction and internal fixation. The results were reviewed retrospectively, between 4months and three years after the operation, with use of an evaluation system for the subtalar joint and with plain radiographs. At follow up evaluation, the result was assessed on the basis of restoration of anatomy and function of the subtalar joint. We evaluated the subtalar joint with plain films that consist of anteroposterior projection, lateral projection, calcaneal axial view, and Broden's view, and the measurements of the displacement of the subtalar joint surface after the calcaneal fracture. And we evaluated the range of motion of the subtalar joint with Circle draw test for physical evaluation. Circle draw test was evaluated and demonstrated the motion of flexion-supination-adduction and extension-pronation-abduction of the subtalar joint. And there are correlationship between the degree of the displacement and range of motion of the subtalar joint after the calcaneal fracture. The report critically reviews methords used to measure Circle draw test for physical examination of the follow up after the calcaneal fracture.

• Smart Media Journal
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• v.6 no.1
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• pp.16-21
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• 2017

Long time has passed since computers which used to be a means of research were commercialized and available for the general public. People used writing instruments to write before computer was commercialized. However, today a growing number of them are using computers to write instead. Computerized word processing helps write faster and reduces fatigue of hands than writing instruments, making it better fit to making long texts. However, word processing programs are more likely to cause spelling errors by the mistake of users. Spelling errors distort the shape of words, making it easy for the writer to find and correct directly, but those caused due to users' lack of knowledge or those hard to find may make it almost impossible to produce a document free of spelling errors. However, spelling errors in important documents such as theses or business proposals may lead to falling reliability. Consequently, it is necessary to conduct research on high-level spelling error correction programs for the general public. This study was designed to produce a system to correct sentence-level spelling errors to normal words with Korean alphabet similarity algorithm. On the basis of findings reported in related literatures that corrected words are significantly similar to misspelled words in form, spelling errors were extracted from a corpus. Extracted corrected words were replaced with misspelled ones to correct spelling errors with spelling error detection algorithm.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.289-297
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• 2010

In this paper, A method to prevent the external acoustic noise from being misrecognized as the speech recognition object is presented in the speech activity detection process for the speech recognition. Also this paper confirmed besides the acoustic energy to the lip movement image signals. First of all, the successive images are obtained through the image camera for personal computer and the lip movement whether or not is discriminated. The next, the lip movement image signal data is stored in the shared memory and shares with the speech recognition process. In the mean time, the acoustic energy whether or not by the utterance of a speaker is verified by confirming data stored in the shared memory in the speech activity detection process which is the preprocess phase of the speech recognition. Finally, as a experimental result of linking the speech recognition processor and the image processor, it is confirmed to be normal progression to the output of the speech recognition result if face to the image camera and speak. On the other hand, it is confirmed not to the output the result of the speech recognition if does not face to the image camera and speak. Also, the initial feature values under off-line are replaced by them. Similarly, the initial template image captured while off-line is replaced with a template image captured under on-line, so the discrimination of the lip movement image tracking is raised. An image processing test bed was implemented to confirm the lip movement image tracking process visually and to analyze the related parameters on a real-time basis. As a result of linking the speech and image processing system, the interworking rate shows 99.3% in the various illumination environments.