• Journal of the Korean Society for information Management
• /
• v.40 no.2
• /
• pp.115-135
• /
• 2023

The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

• Journal of the Korean Society of Radiology
• /
• v.82 no.5
• /
• pp.1186-1195
• /
• 2021

Purpose In the adult emergency department of a university hospital, we investigated the frequency of major discrepancies between the preliminary reports by radiology residents and the final reports by certified radiologists. Materials and Methods Based on CT and MRI scans obtained between December 2016 and November 2019, we selected cases with diagnoses or treatment plans that could be changed due to discrepancies between preliminary and final reports and classified them by the type of discrepancy. We also examined the distributions of the major discrepancies and stratified them by residents' working time zone, experience, and subspecialty. Results Based on the 72137 preliminary reports evaluated, 1348 tests (1.9%) showed major discrepancies. Most of the major discrepancies were false negatives (72.0%), followed by misdiagnosis (26.3%) and false positives (1.7%). Acute findings (87.2%) were more common than non-acute findings (12.8%). The major discrepancy rate increased toward the second half of the 24-hour shift, with the highest rate of 2.9% occurring between 2 am and 4 am. The major discrepancy rate did not vary with experience, and it varied from 0.6% to 4.5% for each subspecialty. Conclusion The major discrepancy rate was less than 2%, and it increased with longer working hours during a 24-hour shift.

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

• Proceedings of the IEEK Conference
• /
• 2003.07c
• /
• pp.2871-2874
• /
• 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
• /
• v.55 no.5
• /
• pp.280-283
• /
• 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
• /
• v.14 no.1
• /
• pp.189-196
• /
• 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
• /
• v.34 no.2
• /
• pp.46-51
• /
• 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
• /
• no.73
• /
• pp.1-20
• /
• 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
• /
• v.8 no.5
• /
• pp.3-11
• /
• 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
• /
• v.12 no.2
• /
• pp.425-433
• /
• 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.