• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.1
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• pp.63-73
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• 2021

This paper presents a algorithm for automatic target recognition robust to the influence of the flame in order to track the target by EOTS(Electro-Optical Targeting System) equipped on UAV(Unmanned Aerial Vehicle) when there is aerial target or marine target with flame at the same time. The proposed method converts infrared images of targets and flames into a gradient vector field, and applies each gradient magnitude to a polynomial curve fitting technique to extract polynomial coefficients, and learns them in a shallow neural network model to automatically recognize targets and flames. The performance of the proposed technique was confirmed by utilizing the various infrared image database of the target and flame. Using this algorithm, it can be applied to areas where collision avoidance, forest fire detection, automatic detection and recognition of targets in the air and sea during automatic flight of unmanned aircraft.

• The Journal of Bigdata
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• v.5 no.2
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• pp.85-95
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• 2020

In this study, a mobility analysis method is suggested to estimate an O/D trip demand estimation using Mobile Phone Signaling Data. Using mobile data based on mobile base station location information, a trip chain database was established for each person and daily traffic patterns were analyzed. In addition, a new algorithm was developed to determine the traffic characteristics of their mobilities. To correct the ping pong handover problem of communication data itself, the methodology was developed and the criteria for stay time was set to distinguish pass by between stay within the influence area. The big-data based method is applied to analyze the mobility pattern in inter-regional trip and intra-regional trip in both of an urban area and a rural city. When comparing it with the results with traditional methods, it seems that the new methodology has a possibility to be applied to the national survey projects in the future.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.255-277
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• 2021

This study aims to analyze the current status of continuing education for academic librarians based on the records of education. For this purpose, the study investigated the academic librarian's preferences for the topics of continuing education in terms of regional and monthly differences using the 30,404 education records in university and college library statistics of Korean Education and Research Information Service (KERIS). The results shows that 'academic database system' and 'cataloging' were the most preferred topics, and there were topical differences between the academic librarians in university and college.

• Journal of the Korean Geotechnical Society
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• v.38 no.11
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• pp.87-95
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• 2022

The geotechnical information constructed in the National Geotechnical Information DB System has been extensively used in design, construction, underground safety management, and disaster assessment. However, it is necessary to refine the geotechnical information because it has nearly 300,000 established cases containing a lot of missing or incorrect information. This research proposes a method for automatic quality control of geotechnical information using a fully connected neural network. Significantly, the anomalies in geotechnical information were detected using a database combining the standard penetration test results and strata information of Seoul. Consequently, the misclassification rate for the verification data is confirmed as 5.4%. Overall, the studied algorithm is expected to detect outliers of geotechnical information effectively.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.165-170
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• 2022

By reducing time spent outside, a shopping system was developed for middle-aged and elderly people who mainly use neighborhood marts and neighborhood mart managers. The main functions of this app are direct shopping and online shopping, and it was developed using QR code using Zxing library on Android and Kakao Map using Kakao API. In addition, it provides information such as payment statistics and bulletin board posts that members need through recycler view and graphs in an easy-to-read manner. Through this system, members can efficiently manage by reducing fatigue when using the mart through direct purchase using QR code and delivery through map, and reducing manpower wastage as a mart manager. Also, as a mart manager, more consumers will be able to sell more items.

• The Korea Journal of Herbology
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• v.37 no.6
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• pp.29-36
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• 2022

Objectives : The objective of this study was to investigate the possibility for the treatment of hypertension of herbal medicines belong to Umbelliferae family. Methods : Domestic and international articles about Herbology were investigated. A review was performed via the database (DB) search engines such as Pubmed, Korean studies Information Service System (KISS), KoreaScience, and Google Scholar. Hypertension-related terms including "vasorelaxation", "vasorelaxant", "vasodilation", "vasodilatory", "vasodilative", "hypotension", and "hypotensive" were performed as search terms. Results : A list was made about herbal medicines and origin plants belonging to the Umbelliferae family in Korean Pharmacopoeia 12 and Korean Herbal Pharmacopoeia. 14 herbal medicine and 22 origin plants were searched. Ostericum koreanum root and rhizome, Notopterygium incisum root and rhizome, N. forbesii root and rhizome, Ligusticum tenuissimum root and rhizome, L. jeholense root and rhizome, Angelica gigas root, A. dahurica root, A. dahurica var. formosana root, Bupleurum falcatum root, Peucedanum japonicum root, P. praeruptorum root, A. decursiva root, Cnidium officinale rhizome, L. chuanxiong rhizome, Foeniculum vulgare fruit, and Ferula assa-foetida resin and stem showed significant vasorelaxant or hypotensive effects. Conclusion : These review results showed that Osterici seu Notopterygii Radix et Rhizoma, Ligustici Tenuissimi Rhizoma et Radix, Angelicae Gigantis Radix, Angelicae Dahuricae Radix, Bupleuri Radix, Peucedani Japonici Radix, Peucedani Radix, Cnidii Rhizoma, Foeniculi Fructus, and Ferulae Resina had vasorelaxant or hypotensive effects. The results are expected as basic data in clinical trials and experimental researches for the treatment of hypertension of herbal medicines.

• Genomics & Informatics
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• v.21 no.1
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• pp.7.1-7.11
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• 2023

The gram-positive bacterium Listeria monocytogenes is an important foodborne intracellular pathogen that is widespread in the environment. The functions of hypothetical proteins (HP) from various pathogenic bacteria have been successfully annotated using a variety of bioinformatics strategies. In this study, a HP Imo0888 (NP_464414.1) from the Listeria monocytogenes EGD-e strain was annotated using several bioinformatics tools. Various techniques, including CELLO, PSORTb, and SOSUIGramN, identified the candidate protein as cytoplasmic. Domain and motif analysis revealed that the target protein is a PemK/MazF-like toxin protein of the type II toxin-antitoxin system (TAS) which was consistent with BLASTp analysis. Through secondary structure analysis, we found the random coil to be the most frequent. The Alpha Fold 2 Protein Structure Prediction Database was used to determine the three-dimensional (3D) structure of the HP using the template structure of a type II TAS PemK/MazF family toxin protein (DB ID_AFDB: A0A4B9HQB9) with 99.1% sequence identity. Various quality evaluation tools, such as PROCHECK, ERRAT, Verify 3D, and QMEAN were used to validate the 3D structure. Following the YASARA energy minimization method, the target protein's 3D structure became more stable. The active site of the developed 3D structure was determined by the CASTp server. Most pathogens that harbor TAS create a crucial risk to human health. Our aim to annotate the HP Imo088 found in Listeria could offer a chance to understand bacterial pathogenicity and identify a number of potential targets for drug development.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.169-175
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• 2006

Recently, slope failures are disastrous when they occur in mountainous area adjoining highways. The accidents associated with slope failures have increased due to rapid urbanization of mountainous area. Therefore, the inspection of slope is conducted to maintain road safety as well as road function. In this study, we apply to the remedy which is comparing existent description to advanced technology using GIS. We utilize a Terrestrial LiDAR, one of the advanced method, to generate precise and complete road slope model from expert point of view. In result, we extract hazardous slope information from external measurements referring to the evaluation criteria of external slope stability. We suggest not only the database but also the method of road risk evaluation based on internet GIS.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.399-399
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• 2022

최근 국지성 호우 등 홍수방어 시설의 설계빈도를 초과하는 강우 발생으로 홍수피해가 증가하고 있다. 그 중 도시지역의 내수침수 피해는 전체 피해액의 50%를 넘는다. 그러나 우수관거의 노후화 및 통수능 부족으로 우수의 즉각적인 배출이 이루어지지 않아 침수피해가 증가하고 있다. 침수피해의 주요 원인 중 저지대 지역 및 우수관거의 통수능력 부족이 침수피해의 가장 큰 원인을 차지한다. 따라서 도심지의 경우 내수침수로 인한 피해가 증가하고 있는 점을 감안하면 배수관거와 연계한 저류시스템 구축으로 침수 빈발 지역의 치수 능력 향상을 통하여 경제적 피해를 저감시킬 수 있다. 저류시스템은 현장 노면수 저류를 위한 측구 저류조와 저류조 운영 시스템을 의미하며, 저류조 운영 시스템 모델에 대한 연구를 수행하였다. 측구 저류조 운영 시스템 구축을 위해서 현장 센싱(Sensing)데이터와 연계할 수 있는 정보체계 및 운영 시스템 모델이 필요하다. 이에 센서를 활용한 도심지 측구 저류조 운영 시스템 모델을 제시한다. 먼저 센서의 구성은 측구 저류조 내의 협소한 공간과 전원공급, 방진·방수 문제를 해결할 수 있도록 구성되어야 하며, 무전원 근거리 이동통신기술(RFID)을 적용하여 측구 저류조 운영 시스템 수집서버와 통신하여 센싱 데이터를 저장한다. 데이터는 근거리 RFID 리더기가 측구 저류조로부터 센싱 정보를 수신하여 통신모듈에 수신한 저류조 개폐도어 열림과 닫힘 시그널(signal), RFID의 고유 ID 등을 전달 받아 운영 시스템 내의 RFID 이력 DB(Database)에 기록한다. 기록된 정보는 각각 RFID 일련번호, 기록 시간, 동적센서 시그널 값 등이 저장되어 각각의 측구 저류조의 상태를 확인할 수 있어야 한다. 저류량 산정을 위해서 GIS기반의 하수도 시설물 속성 데이터를 포함하는 운영 시스템을 구성해야 한다. 운영 시스템은 수집된 센서정보를 시계열 단위로 분석하고 위치정보 기준으로 측구 저류조 내의 총 저류량 산출에 필요한 기초정보를 제공하며 결과를 표출한다. 따라서 하수도 시설물의 속성정보를 포함하여 측구 저류조 및 센서의 속성정보 정의가 필요하며, 공간정보 파일(Shape File)을 적용하여 GIS 운영 시스템을 구축하여야 한다. 운영 시스템은 저류조 만관상태와 총 저류량을 산출하여 침수위험 알림을 제공할 수 있으며, 예상 강우에 따른 도심지 피해를 역으로 예측하여 강우사상 빈도에 따른 측구 저류조 체적을 결정할 수 있다.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.989-998
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• 2023

As diseases are already increasing due to aging population and changes in eating habits, interest in digital healthcare is increasing. According to the 2020 Elderly Status Survey, 84% of South Koreans aged 65 and older suffer from at least one chronic disease, and the number and duration of drugs taken by the elderly are also increasing. Effective management that enhances compliance of chronic disease patients can prevent the onset of complications, thereby averting progression to severe illnesses. Thus, a proper medication-taking habit is crucial. This paper proposes a medication information retrieval system using OCR technology. By leveraging Google Cloud Vision API, the system detects and recognizes the names of medicines. Once recognized, the medication name is searched in a database to provide users with medication information and medication schedule management services. By providing accurate medication information through the search, it is possible to induce changes in medication methods and habits. By eliminating the inconvenience of direct input through OCR technology, we anticipate enhancing user convenience by promptly delivering information.