• Journal of The Korean Society of Inherited Metabolic disease
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• v.24 no.1
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• pp.26-36
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• 2024

Lesch-Nyhan syndrome (LNS) is an Clinical symptoms can range from mild to severe depending on residual enzyme activity and genetic mutations. In Korea, 27 cases of LNS have been reported. We report the results of an 11-year comparative follow-up of two cases of children who visited because of pink diapers, one who died from LNS with no residual enzymes and one case with partial residual enzymes. Case 1: During follow-up, seizures, developmental delay, and regression were observed. The boy experienced insomnia and severe constipation. He exhibited self-mutilating behavior, a grand mal seizure, scoliosis with severe spasticity, truncal hypotonia, choreoathetoid movement, and ataxia. After prolonged emaciation, staghorn calculi, and recurrent pneumonia, the patient died suddenly at the age of 11 years. Genetic testing revealed a hemizygous HPRT1 variant (c.151C>T (p.Arg51Ter)). Uric acid level was 10.5 mg/dL (normal range: ~3.5-7.9) and HPRT activity 0.02 nmol/hr/spot (10-23.8 nmol/hr/spot). Case 2: During follow-up, the patient remained underweight. He has normal intelligence attending primary school. Self-mutilation symptoms were not observed. Regular renal ultrasonography did not reveal urolithiasis. The patient had a hemizygous HPRT1 variant (c.35A>C (p.Asp12Ala)). Uric acid level and HPRT activity were 11 mg/dL and 0.56 nmol/hr/spot. Pink diapers after the neonatal period and severe protein aversion, neurological problems, and kidney stones, differentiation for LNS is necessary. When suspected, serum uric acid levels, HPRT enzyme activity, and molecular biological tests may be helpful in predicting the prognosis of LNS.

• Korean Journal of Plant Resources
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• v.37 no.4
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• pp.392-400
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• 2024

This study was conducted to find the flowering and growth characteristics according to the different altitudes (plains and mid-mountain regions) and cultivation methods (field and plastic houses cultivation) of Elsholtzia splendens. Experimental regions located at 12 meters and 500 meters above sea level were selected for the plains and the mid-mountain, respectively, and the same method was applied for cultivation management by different altitudes and cultivation methods. In the mid-mountain region, flower bud emergence (2-3 days), flowering (9 days), and full bloom (6-7 days) stages of Elsholtzia splendens were earlier than in the plains, and field cultivation was earlier than plastic house cultivation. The plant height, the main stem diameter, and the number of branches tended to increase gradually after an initial rapid growth at 59 to 69 days after planting date. The days of duration of sunshine (less than 8 hours) from the rainy season (June 20) to the period when vegetative growth increases gradually (59 to 69 days after planting) was 22 to 29 days and 26 to 35 days in the plains and the mid-mountain regions respectively, and this period was estimated time of transition from vegetative growth to reproductive growth. The spikes growth of Elsholtzia splendens by cultivation altitudes was higher in the mid-mountain region than in the plains, and there were no statistically significant differences in growth characteristics except for the main stem diameter, the number of branches, and the dry matter. Also, the amount of flowering and growth was higher in the plastic house cultivation compared to the field cultivation. As a result, some differences in flowering amount were observed when cultivating Elsholtzia splendens for landscaping purposes, but it was considered possible to cultivate in both plains and mid-mountain regions. This study therefore provides ecological information for understanding the relationship between weather characteristics and growth of Elsholtzia splendens.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.121-130
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• 2024

As internet and communication technology (ICT) is improved exponentially, types and amount of available data also increase. Even though data analysis including statistics is significant to utilize this large amount of data, there are inevitable limits to process various and complex data in general way. Meanwhile, there are many attempts to apply machine learning (ML) in various fields to solve the problems according to the enhancement in computational performance and increase in demands for autonomous systems. Especially, data processing for the model input and designing the model to solve the objective function are critical to achieve the model performance. Data processing methods according to the type and property have been presented through many studies and the performance of ML highly varies depending on the methods. Nevertheless, there are difficulties in deciding which data processing method for data analysis since the types and characteristics of data have become more diverse. Specifically, multi-variate data processing is essential for solving non-linear problem based on ML. In this paper, we present a multi-variate tabular data processing scheme for ML-aided data analysis by using Titanic dataset from Kaggle including various kinds of data. We present the methods like input variable filtering applying statistical analysis and normalization according to the data property. In addition, we analyze the data structure using visualization. Lastly, we design an ML model and train the model by applying the proposed multi-variate data process. After that, we analyze the passenger's survival prediction performance of the trained model. We expect that the proposed multi-variate data processing and visualization can be extended to various environments for ML based analysis.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.434-441
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• 2023

Determining the size or area of a plant's leaves is an important factor in predicting plant growth and improving the productivity of indoor farms. In this study, we developed a convolutional neural network (CNN)-based model to accurately predict the length and width of lettuce leaves using photographs of the leaves. A callback function was applied to overcome data limitations and overfitting problems, and K-fold cross-validation was used to improve the generalization ability of the model. In addition, ImageDataGenerator function was used to increase the diversity of training data through data augmentation. To compare model performance, we evaluated pre-trained models such as VGG16, Resnet152, and NASNetMobile. As a result, NASNetMobile showed the highest performance, especially in width prediction, with an R_squared value of 0.9436, and RMSE of 0.5659. In length prediction, the R_squared value was 0.9537, and RMSE of 0.8713. The optimized model adopted the NASNetMobile architecture, the RMSprop optimization tool, the MSE loss functions, and the ELU activation functions. The training time of the model averaged 73 minutes per Epoch, and it took the model an average of 0.29 seconds to process a single lettuce leaf photo. In this study, we developed a CNN-based model to predict the leaf length and leaf width of plants in indoor farms, which is expected to enable rapid and accurate assessment of plant growth status by simply taking images. It is also expected to contribute to increasing the productivity and resource efficiency of farms by taking appropriate agricultural measures such as adjusting nutrient solution in real time.

• Journal of Bio-Environment Control
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• v.33 no.3
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• pp.156-162
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• 2024

This study was conducted to investigate the effect of rooting volume on the productivity of fresh shoots when growing rosemary in multi-layer cultivation. The 10 cm middle cuttings from which the common rosemary (Rosmarinus officinalis L.) apical bud was removed were planted in a 128-hole tray, rooted, and then transplanted into pots of 125, 200, 550, 750, 1,300, and 2,000 mL to determine the growth characteristics and quantity of young shoots of 1-year-old and 2-year-old rosemary. In the case of 1-year-old rosemary, there was no clear difference in initial growth (30 days after transplanting) between treatments in pot size larger than 550 mL, in the case of 2-year-old rosemary, growth tend to be proportional as the pot became larger. The fresh weight of the underground part of 1-year-old and 2-year-old rosemary was the lowest at 6.9 g and 24.4 g, respectively, when surveyed on July 25 in a 550 mL container, and 10.3 g and 24.9 g, respectively, when surveyed on November 24, and there was a difference between treatments in containers of 750 to 2,000 mL. On the other hand, in the case of 1-year-old rosemary, the fresh weight of the above-ground part increased as the pot became larger, but there was no statistical difference above 1,300 mL, and the fresh weight of 2-year-old rosemary was also significantly higher as the pot became larger. The quality of young shoots was the best for 1-year-old rosemary in a pot of 2,000 mL, but for 2-year-old rosemary, there was a difference in quality depending on the season. Shoot productivity per unit pot was highest at 1,300 mL, but when converted to per unit area, the best was observed at 750 mL. Therefore, the most suitable pot size for intensive production through multi-layer cultivation of rosemary young shoots is judged to be 750 mL (12.5 × 11.5 cm).

• Journal of Bio-Environment Control
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• v.33 no.3
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• pp.163-171
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• 2024

This study was aimed to investigate the effects of layer-by-floor environmental conditions and lower shelf supplemental lighting on the productivity of fresh shoots when growing rosemary in multi-layer cultivation. The 10-cm cuttings from stock plants of common rosemary (Rosemarinus officinalis) were planted in a 128-hole tray, rooted, and then transplanted into pots of 750, 1,300, and 2,000 mL. Afterwards, they were placed on multi-layer shelves (width × length × height: 149 × 60 × 57 cm, 3-layer) in a two-linked greenhouse and cultivated using the sub-irrigation. The productivity of young shoots by layer of the multi-layer shelf was the highest on the third floor (top floor), but productivity decreased sharply after September due to stem lignification caused by excessive light during the summer. Conversely, the lower two layers exhibited faster growth rate of young shoots until the late cultivation period, but the quality decreased due to stem softening and leaf epinasty. To address the excessive light problem on the third floor during the summer, shading was implemented at 30% opacity in July and August, resulting in a 210% increase in rosemary young shoots count and a 162% increase in fresh weight per unit area compared to the unshaded control. To improve the lighting deficiency on the lower layer, supplemental lighting with LED at 30 W increased rosemary young shoot harvest by 168% from June to September compared to no supplemental lighting, but it decreased productivity after September. Therefore, when growing rosemary in multi-layer, it is judged that intensive production of young shoots is possible if the third floor (top layer) is shaded with 30% of light from July to August to prevent stem lignification, and the lower layer is temporarily supplemented with LED 30 W from June to September to increase young shoot growth.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.125-136
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• 2024

This study presents an automated Python algorithm for analyzing rainfall characteristics to establish critical rainfall thresholds as part of a landslide early warning system. Rainfall data were sourced from the Korea Meteorological Administration's Automatic Weather System (AWS) and the Korea Forest Service's Automatic Mountain Observation System (AMOS), while landslide data from 2020 to 2023 were gathered via the Life Safety Map. The algorithm involves three main steps: 1) processing rainfall data to correct inconsistencies and fill data gaps, 2) identifying the nearest observation station to each landslide location, and 3) conducting statistical analysis of rainfall characteristics. The analysis utilized power law and nonlinear regression, yielding an average R² of 0.45 for the relationships between rainfall intensity-duration, effective rainfall-duration, antecedent rainfall-duration, and maximum hourly rainfall-duration. The critical thresholds identified were 0.9-1.4 mm/hr for rainfall intensity, 68.5-132.5 mm for effective rainfall, 81.6-151.1 mm for antecedent rainfall, and 17.5-26.5 mm for maximum hourly rainfall. Validation using AUC-ROC analysis showed a low AUC value of 0.5, highlighting the limitations of using rainfall data alone to predict landslides. Additionally, the algorithm's speed performance evaluation revealed a total processing time of 30 minutes, further emphasizing the limitations of relying solely on rainfall data for disaster prediction. However, to mitigate loss of life and property damage due to disasters, it is crucial to establish criteria using quantitative and easily interpretable methods. Thus, the algorithm developed in this study is expected to contribute to reducing damage by providing a quantitative evaluation of critical rainfall thresholds that trigger landslides.

• Journal of Sasang Constitutional Medicine
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• v.10 no.2
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• pp.351-429
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• 1998

The Purpose of Study 1. Inspection of clinical application on TCD to CVA 2. Objective Comparement and analysis about treatment effect of Western-Medicine, Korean Medicine, Cooperative consultation of Korean and Western medicice for CVA The Subject of Study We intended for the eighty six patient of CVA who had been treated in the Oriental Medical Hospital at Dong Eui Medical Center from 1997. 8. I to 1998. 7. 31 1. View of CT, MRI : the patient of Cb infarction 2. Attack Time : The patient who coming hospital falling ill within the early one week The method of study 1. Treat four group of Korean medicine, Constitution medicine, Western medicine, cooperative consultation of Korean medicine and Western medicine. 2. Application of TCD Check the result for three times, immediatly after the attack, two months later, four months later 3. Comparative analysis of each treatment effect by clinical symptoms and pathologic examination 4. The Judgement of the patient The Result From 8/1/1997 to 7/31/1998, We have the following result by clinical analysis intended for CVA 86 patients who had been treated in the Oriental Medical Hospital at Dong Eui Medical Center from 1997. 8. 1 to 1998. 7. 31 in 1. Analysis according to Age The first stage of thirties, forties, seventies is heavier than forties, fifties in improvement and Index of improvement of symptom 2. Analysis according to sex We have no special relation in an average of symptom and improvement, Index improvement 3. Analysis according to Family History We have the better result in first stage and improvement, index improvement when no family history. 4. Analysis according to Past History We have no special relation in past history like hypertension, DM, heart problem 5. Analysis devided two group, above group and under group on the basis of the average in first stage of all patient. We have the better result when the first stage is light, that the first score of barthel index and CNS is high. 6. Analysis of the effect of treatment about Korean medical treatment, Western medical treatment, cooperative treatment. In this study, the highest group of rate of treatment at four contrast groups (Korean medicine, Constitution medicine, Western medicine, cooperative treatment according to dyagnosis and range of treatment was the patient group of doing dyagnosis and method of treatment based on constitution medicine theory. This is that of doing demostation, A-Tx, po-herb-medication according to dyagnosis and treat method of constitution of Lee Je-ma In case of left, the case of dyagnosis any disease according to doctor view but, normal in TCDwas 22-beginning of attack, 20- two weeks later, 11 case-four weeks later in case of right, 15-beginning of attack, 12-two weeks later, 9 case four weeks later. So left vessel compares to right vessel is more interference, in fact more than a 1/2 of the patients of MCA disease can't do dyagnosis. In rate of imparement, the state of pacient improved but there isn't the improved case of result in TCD. 7. In TCD dyagnosis, between the case of inconsus the doctor view specially MCA in brain blood vessel is in large numbers and in total 86's patient, impossible case of dyagnosis according to interferiance of temporal is 21 case. 7. Result study about application of Kreaan medical treatment 1) The impossible patient of observation MCA blood vescular for interference temporal bone happened in large numbers. 2) There is the case having difference result to CT,MRI, MRA result. 3) Because individual difference is large, excluding to ananalogy of symptom. This is normal numerical value that has possibility of being checked as abnormal numerical value 4) there are a lot of cases that the speed of normal part is as similarly measured as that of abnormal part. It means that we cannot judge the disease by this measure 5) It is rare that this measure represent degree of improvement in patient's condition of disease. When we observe patient's condition become better, but we have no case that the result of TCD test better. 6) The result could be appear differently by the technique of the tester or by the experience of the tester 7) In the TCD test, abnormal symptoms is checked at 0 week, but at 2th week, normal symptoms is checked, again at 4th week abnormal is checked. According to the above result, CVA diagnosis is difficult only with TCD, as it appear in diagnosis error check which is suggested in the problem connected to project, for the aged persons who have the worst hardening of part of the cranium (1998. 5. 26 77 of 83 patients is 50s) there is a lot of cases that the measurement is impossible by TCD and the correction of measurement numerical value is decreased, as the age of cerebral infarction is high, TCD is inappropriate to diagnosis equipment through this study.

• Journal of the Korean Institute of Landscape Architecture
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• v.45 no.3
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• pp.41-53
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• 2017

This study was performed to determine what the plant material were selected to reflect in the 2016 Korea Garden Show designer's garden. It was analyzed that plant material was used to display the theme of the garden and to create a specific space. Under the given theme of 'K-Garden, Shinhallyu Garden(new style garden culture) with the most Korean taste', the plants were used to highlight the theme in two types: 'representation' and 'expression'. There were two 'representation' gardens that imitate a particular space of Korean taste and four 'expression' gardens that showcase the designer's thoughts with abstract concepts and concrete objects. Three gardens included both types of garden. The way of revealing the subject with plants was used more for 'expression' than for 'representation'. There were eleven spaces for 'representation' of the Korean taste, a vegetable garden, faucet, pond, field, nature, a Hanok court garden, groves of bamboo, tile roof, stone wall, rock and backyard of a Hanok connected to the mountain. The planting material was used in two ways: reflecting only the ecological characteristics of the plant, and considering the ecological and visual characteristics together. Vegetation plantings reflecting the ecological characteristics were observed in all eleven spaces. Nine of the spaces reflected the growth environment of the plants, but the other two did not reflect the ecological characteristics of the plants, unlike the designer's intention. In the case of the four spaces that considered the ecological and visual characteristics together, color and size were considered visual characteristics. The plants in the seven spaces that included 'expression' as the theme were selected to reflect the visual characteristics in the order of color, shape, texture, and size, rather than reflecting ecological characteristics. A group planting method was applied. When the plants were used as materials for creating space, Norman(1989) analyzed three enclosure factors(overhead, vertical, ground plane). Only two deciduous trees were used in the overhead plane while five species of evergreen shrubs and thirty species of various deciduous plants were used in the vertical plane. There were forty-five species (nine trees and thirty-six herbaceous plants) forming the ground plane, and various herbaceous plants were utilized without duplication in each garden. The designer's garden of the Garden Show played a role in introducing new groundcover plants to the public. Three of the nine gardens did not include ornamental plants, and the use of decorative plants in other gardens was few compared to the number of plantings. In the Korea Garden Show designer's garden, most of the plants were being used with the intention of exposing the theme or architectural uses. In the 2016 Korea Garden Show designer's garden, many species of plants were used as materials for showcasing themes rather than for creating spaces. Also, the method of 'expression' was used more than the method of 'representation' in order to highlight the theme. This indicates that the planting materials reflect visual characteristics such as color, shape, texture, size rather than ecological characteristics.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.53-77
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• 2012

This study analyses the difference of contents and tones of arguments among three Korean major newspapers, the Kyunghyang Shinmoon, the HanKyoreh, and the Dong-A Ilbo. It is commonly accepted that newspapers in Korea explicitly deliver their own tone of arguments when they talk about some sensitive issues and topics. It could be controversial if readers of newspapers read the news without being aware of the type of tones of arguments because the contents and the tones of arguments can affect readers easily. Thus it is very desirable to have a new tool that can inform the readers of what tone of argument a newspaper has. This study presents the results of clustering and classification techniques as part of text mining analysis. We focus on six main subjects such as Culture, Politics, International, Editorial-opinion, Eco-business and National issues in newspapers, and attempt to identify differences and similarities among the newspapers. The basic unit of text mining analysis is a paragraph of news articles. This study uses a keyword-network analysis tool and visualizes relationships among keywords to make it easier to see the differences. Newspaper articles were gathered from KINDS, the Korean integrated news database system. KINDS preserves news articles of the Kyunghyang Shinmun, the HanKyoreh and the Dong-A Ilbo and these are open to the public. This study used these three Korean major newspapers from KINDS. About 3,030 articles from 2008 to 2012 were used. International, national issues and politics sections were gathered with some specific issues. The International section was collected with the keyword of 'Nuclear weapon of North Korea.' The National issues section was collected with the keyword of '4-major-river.' The Politics section was collected with the keyword of 'Tonghap-Jinbo Dang.' All of the articles from April 2012 to May 2012 of Eco-business, Culture and Editorial-opinion sections were also collected. All of the collected data were handled and edited into paragraphs. We got rid of stop-words using the Lucene Korean Module. We calculated keyword co-occurrence counts from the paired co-occurrence list of keywords in a paragraph. We made a co-occurrence matrix from the list. Once the co-occurrence matrix was built, we used the Cosine coefficient matrix as input for PFNet(Pathfinder Network). In order to analyze these three newspapers and find out the significant keywords in each paper, we analyzed the list of 10 highest frequency keywords and keyword-networks of 20 highest ranking frequency keywords to closely examine the relationships and show the detailed network map among keywords. We used NodeXL software to visualize the PFNet. After drawing all the networks, we compared the results with the classification results. Classification was firstly handled to identify how the tone of argument of a newspaper is different from others. Then, to analyze tones of arguments, all the paragraphs were divided into two types of tones, Positive tone and Negative tone. To identify and classify all of the tones of paragraphs and articles we had collected, supervised learning technique was used. The Na$\ddot{i}$ve Bayesian classifier algorithm provided in the MALLET package was used to classify all the paragraphs in articles. After classification, Precision, Recall and F-value were used to evaluate the results of classification. Based on the results of this study, three subjects such as Culture, Eco-business and Politics showed some differences in contents and tones of arguments among these three newspapers. In addition, for the National issues, tones of arguments on 4-major-rivers project were different from each other. It seems three newspapers have their own specific tone of argument in those sections. And keyword-networks showed different shapes with each other in the same period in the same section. It means that frequently appeared keywords in articles are different and their contents are comprised with different keywords. And the Positive-Negative classification showed the possibility of classifying newspapers' tones of arguments compared to others. These results indicate that the approach in this study is promising to be extended as a new tool to identify the different tones of arguments of newspapers.