• Journal of the Korean Geotechnical Society
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• v.40 no.4
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• pp.69-79
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• 2024

Field geotechnical data are obtained from various field and laboratory tests and are documented in geotechnical investigation reports. For efficient design and construction, digitizing these geotechnical parameters is essential. However, current practices involve manual data entry, which is time-consuming, labor-intensive, and prone to errors. Thus, this study proposes an automatic data extraction method from geotechnical investigation reports using image-based deep learning models and text-mining techniques. A deep-learning-based page classification model and a text-searching algorithm were employed to classify geotechnical investigation report pages with 100% accuracy. Computer vision algorithms were utilized to identify valid data regions within report pages, and text analysis was used to match and extract the corresponding geotechnical data. The proposed model was validated using a dataset of 205 geotechnical investigation reports, achieving an average data extraction accuracy of 93.0%. Finally, a user-interface-based program was developed to enhance the practical application of the extraction model. It allowed users to upload PDF files of geotechnical investigation reports, automatically analyze these reports, and extract and edit data. This approach is expected to improve the efficiency and accuracy of digitizing geotechnical investigation reports and building geotechnical databases.

• The Journal of Korean Medicine
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• v.45 no.3
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• pp.193-210
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• 2024

Objectives: We analyzed Sasang constitution case reports using text mining to derive network analysis results and designed a classification algorithm using machine learning to select a model suitable for classifying Sasang constitution based on text data. Methods: Case reports on Sasang constitution published from January 1, 2000, to December 31, 2022, were searched. As a result, 343 papers were selected, yielding 454 cases. Extracted texts were pretreated and tokenized with the Python-based KoNLPy package. Each morpheme was vectorized using TF-IDF values. Word cloud visualization and centrality analysis identified keywords mainly used for classifying Sasang constitution in clinical practice. To select the most suitable classification model for diagnosing Sasang constitution, the performance of five models-XGBoost, LightGBM, SVC, Logistic Regression, and Random Forest Classifier-was evaluated using accuracy and F1-Score. Results: Through word cloud visualization and centrality analysis, specific keywords for each constitution were identified. Logistic regression showed the highest accuracy (0.839416), while random forest classifier showed the lowest (0.773723). Based on F1-Score, XGBoost scored the highest (0.739811), and random forest classifier scored the lowest (0.643421). Conclusions: This is the first study to analyze constitution classification by applying text mining and machine learning to case reports, providing a concrete research model for follow-up research. The keywords selected through text mining were confirmed to effectively reflect the characteristics of each Sasang constitution type. Based on text data from case reports, the most suitable machine learning models for diagnosing Sasang constitution are logistic regression and XGBoost.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2871-2874
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• 2003

The development of a portable system to be used by diabetes patients and renal discase patients is needed to monitor their urea concentration and their glucose concentration in blood. This paper reports a compound sensor composed of a urea sensor, a glucose sensor and a micro-channel. This paper also reports the development of a portable measurement system to measure the concentrations, display the values, and save the values to be used by doctors.

• Journal of Korean Neurosurgical Society
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• v.55 no.5
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• pp.280-283
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• 2014

Reports of thrombosis and recanalization of cerebral aneurysm are rare. We report two cases of small, saccular aneurysms in which spontaneous thrombosis had occurred during the preparation for endovascular coiling. Also, we review reported cases and propose the presumed pathogenesis.

• The Journal of Pediatrics of Korean Medicine
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• v.14 no.1
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• pp.189-196
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• 2000

Recently, By the climatic change and increased resistance to antibiotics, diseases with atypical fever are increasing. FUO(Fever unknown origin) is defined' as fever persisting for $1{\sim}3weeks$ which origins are not found. through the reports of two clinical cases presenting FUO, I pretend to show the orient-medical and west-medical approachs to FUO.

• Journal of the Korean Professional Engineers Association
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• v.34 no.2
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• pp.46-51
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• 2001

It Is not uncommon to see some reports that livestock wastes are discharged into land, streams or seas without any treatment in the protective area of water resource. This study reports the development of the technique of protecting water resources through making use of treated livestock in organic farming after the procedures of collecting livestock wastes in 100% water tight PDF tanks, mixing Pedac, etc and fermenting. This techinque makes organic farming products possible without experiencing soil acidification caused by chemical fertilizer.

• The Korea Energy Engineers Association Reports
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• no.73
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• pp.1-20
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• 2008

창간 6주년 축사/지부소식/포토뉴스/Company-(주)수국/뒤돌아본 열관리사협회보 6년/Pwople-송기정 서울지부장/'2008년 한국열관리사협회 교육프로그램 안내"/2008년도 법정교육일정/보일러 조종자 특별교육 안내/2008년도 보일러조종자 특별교육 안내/2008년도 자격 검정일정 안내/mocie news/What's up/Boiler Q&A

• Journal of the korean veterinary medical association
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• v.8 no.5
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• pp.3-11
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• 1964

These reports are based upon the postmortem examination of wild animals obtained at Chang Kyung won zoo in Seoul since 1955 when the zoo was restored gradually after Korean war . $\cdot$ Formosan Deer(female, 12year-old) Primary adenocarcinoma

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.425-433
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• 2005

Most of national-wide surveys are summarized by some statistical tables and graphs. In spite of high costs to get statistical results from surveys, we often find some statistical problems in the statistical reports. In this paper, we point out some statistical problems for the Korean Anthropometric Survey report. Also, we suggest some alternatives which may avoid the illustrated problems.

• The Korea Energy Engineers Association Reports
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• no.29
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• pp.4-5
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• 2004