• Journal of Astronomy and Space Sciences
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• v.19 no.4
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• pp.351-366
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• 2002

In this study, we developed low cost INS and (D)GPS integration for continuous attitude and position and utilized it for the determination of exterior orientation parameters of image sensors which are equipped in 4S-Van. During initial alignment process, the heading information was extracted from twin GPS and fine alignment with Kalman filter was performed for the determination of roll and pitch. Simulation and van test were performed for the performance analysis. Based on simulation result, roll and pitch error is around 0.01-0.03 degrees and yaw error around 0.1 degrees. Based on van test, position error in linear road is around 10 cm and curve around 1 m. Using direct georeferencing method, the image sensor's orientation and position information can be acquired directly from (D)GPS/INS integration. 4S-Van achieved 3D spatial data using (D)GPS/INS and image data can be applied to the spatial data integration and application such as contemporary digital map update, road facility management and Video GIS DB.

• Korean Journal of Oriental Medicine
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• v.17 no.2
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• pp.73-83
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• 2011

The first medical text in which detailed treatments of diseases by combinations of materia medica are mentioned is the "Shanghanzabinglun(傷寒雜病論)". True meaning of the combinations of materia medica used in this text lies in the fact that the efficacy of a prescription transcends that of the linear sum of each materia medica. This kind of concept regarding the composition of a prescription has come to contribute to the formation of theories in prescriptionology; However, it is difficult to analyze and interpret the meaning of each prescription separately because of differences in interpreting methods, points of view, and terminologies used by members of different academical branches. Therefore, it is desirable that one should understand a prescription as having been modified from a basic prescription, and then bring the interactions of ingredients into the picture, finally understanding the efficacy and chief virtues of the targeted prescription. Nevertheless, with the massive information of prescriptions, which exist in the format of texts, it is impossible to efficiently take advantage of prescription analyzing methods, and therefore the range of analysis extremely restricted. In order to overcomes these weaknesses, this paper suggests that object-oriented prescription database be constructed and that a search program for education and research that could facilitate an efficient access to the database be developed as well.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.12
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• pp.2287-2297
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• 2007

The proposed ANIDS(Advanced Network Intrusion Detection System) which is network-based IDS using Association Rule Mining, collects the packets on the network, analyze the associations of the packets, generates the pattern graph by using the highly associated packets using Association Rule Mining, and detects the intrusion by using the generated pattern graph. ANIDS consists of PMM(Packet Management Module) collecting and managing packets, PGGM(Pattern Graph Generate Module) generating pattern graphs, and IDM(Intrusion Detection Module) detecting intrusions. Specially, PGGM finds the candidate packets of Association Rule large than $Sup_{min}$ using Apriori algorithm, measures the Confidence of Association Rule, and generates pattern graph of association rules large than $Conf_{min}$. ANIDS reduces the false positive by using pattern graph even before finalizing the new pattern graph, the pattern graph which is being generated is compared with the existing one stored in DB. If they are the same, we can estimate it is an intrusion. Therefore, this paper can reduce the speed of intrusion detection and the false positive and increase the detection ratio of intrusion.

• The Journal of Information Systems
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• v.30 no.1
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• pp.123-149
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• 2021

Purpose The purpose of this study is to define the anti-ESG activities of companies recognized by media by reflecting ESG recently attracted attention. This study extracts keywords for ESG controversies through association rule mining. Design/methodology/approach A research framework is designed to extract keywords for ESG controversies as follows: 1) From DeepSearch DB, we collect 23,837 articles on anti-ESG activities exposed to 130 media from 2013 to 2018 of 294 listed companies with ESG ratings 2) We set keywords related to environment, social, and governance, and delete or merge them with other keywords based on the support, confidence, and lift derived from association rule mining. 3) We illustrate the importance of keywords and the relevance between keywords through density, degree centrality, and closeness centrality on network analysis. Findings We identify a total of 26 keywords for ESG controversies. 'Gapjil' records the highest frequency, followed by 'corruption', 'bribery', and 'collusion'. Out of the 26 keywords, 16 are related to governance, 8 to social, and 2 to environment. The keywords ranked high are mostly related to the responsibility of shareholders within corporate governance. ESG controversies associated with social issues are often related to unfair trade. As a result of confidence analysis, the keywords related to social and governance are clustered and the probability of mutual occurrence between keywords is high within each group. In particular, in the case of "owner's arrest", it is caused by "bribery" and "misappropriation" with an 80% confidence level. The result of network analysis shows that 'corruption' is located in the center, which is the most likely to occur alone, and is highly related to 'breach of duty', 'embezzlement', and 'bribery'.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.861-868
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• 2021

With the development of technology for visualizing big-data, tasks such as intuitively analyzing a lot of data, detecting errors, and deriving meaning are actively progressing. In this paper, we describe the design and implementation of a 3D analysis that collects and stores the writing data in Chinese characters provided by the Korean Classical Database of the Korean Classics Translation Institute, stores and progress the data, and visualizes the writing information in a 3D network diagram. It solves the problem when a large amount of data is expressed in 2D, intuitive that analysis, error detection, meaningful data extraction such as characteristics, similarity, differences, etc. and user convenience can be provided. In this paper, we improved the problems of analyzing Chosun dynasty poetry in Chinese characters using 2D visualization conducted in previous studies.

• Research in Community and Public Health Nursing
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• v.30 no.3
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• pp.377-389
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• 2019

Purpose: Group-based interventions help the members of the parent group work together to share their parenting stress, provide opportunities for them to support each other emotionally and informatively, and allow them to achieve what they want to accomplish. The purpose of this study is to investigate and synthesize the outcome of a parenting support program for infant and toddler parents. Methods: Published randomized control trials were identified through Ovid-Medline, Embase and CINAHL DB. Eligible studies include articles published between 2008 and 2018 in English in the randomized controlled trial design in which parenting support programs were implemented for infant and toddler parents group. Results: A total of 11 studies was selected for this review. These programs reported large level of effect size for parenting, and middle level effect size for parent's psycho-social outcomes and child development. There were many programs conducted for parents with infants between 13 and 24 months, and the frequency of programs provided for 2 hours a week was high with 9 to 12 sessions. Most programs were facilitated by trained professionals including nurses and social workers except two programs led by lay persons. Conclusion: This review demonstrates that group-based parenting support programs have positive effects on parenting, parent's psychosocial health and infant development. To disseminate the effective group-based parenting support programs, further research is needed to confirm the long term effect and develop nurse's role as a group facilitator.

• 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.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.458-458
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• 2023

본 연구에서는 위성영상 활용 지능형 재난관측·감시 기술 개발을 목적으로 위성영상과 멀티소스(CCTV, 항공영상, 공공DB 등)와의 연계·융합을 통해 재난상황관리의 정확도 향상과 위성영상 활용성 제고 방안을 제시하고자 하였다. 위성영상 수집·배포시스템으로부터 전달되는 위성영상과 멀티소스의 연계 융합을 통한 재난상황정보의 표출을 목적으로 상황판연계 표출시스템 가동 절차와 위성영상 수집을 통한 위험탐지 알고리즘과의 연계를 위해 재난상황업무 기반 시스템 가동절차를 수립하고, 위기관리표준 매뉴얼 상 상황업무절차를 적용해 예비설계를 진행하였다. 상황실 실무자 설문을 통해 작성된 시스템 요구사항과 규격서를 기반으로 상황업무절차를 적용해 먼저업무시스템 설계를 진행하였다. 평시에는 GIS통합상황판에서 관리됨을 전제로 위성영상 수집에 대한국가적 예산 투입 측면을 고려해 중대본 설치가 필요한 대형재난 발생상황을 가정하여 상황판연계·표출시스템의 가동되도록 설계하였다. 또한, 위성영상 분석을 통한 피해위험도와 재난이력통계 등 멀티소스와 중첩한 결과를 실시간으로 표출함에 따라 상황실근무자는 재난확산 여부를 판단하고, NDMS를 통해 재난상황을 전파할 수 있도록 설계하였다. 상황판연계 표출시스템의 원활한 데이터 입/출력을 위해 재난유형 및 분석단계별 클래스 정의, 유스케이스 ID(요구기능)와 1:1 또는 1:n매칭을 수행하여 재난유형 및 분석단계별 클래스를 정의하였다. 정의된 클래스는 유스케이스인 요구기능과 매칭을 수행하였고, 시스템 가동절차 중 피해위험도분석, 재난이력통계, 중첩결과표출, NDMS 상황전파에 대한 상황업무절차를 기반으로 산불·홍수·산사태·대설·태풍 총 5종의재난별 시퀀스를 설계하였다. 마지막으로 화면정의서와 UI/UX설계서를 기반으로 Figma를 통해 시스템구동화면을 사전에 모의하였다. 향후, 진행되는 연구에서는 위성영상과 멀티소스를 연계한 화면을 실체화하여 더욱 정확한 재난상황관리가 가능하도록 NDMS 연계 상황판 표출 시스템을 개발하고자 한다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.147-154
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• 2008

A variety of activity happens around the sidewalk in the city. Particularly, a large variety of activity happens in shopping area, but it causes an obstruction of economical revitalization since the pedestrians require time and cost to find what they want. So, this study will develop the path searching method to minimize the economical loss of shoppers by providing the significant path and supporting the walking movement. Firstly, consider existing network expression techniques and approach three points which are physical and environmental factor, the recognition of the pedestrians' space when changing the direction, and the recognition of restriction of vision and accessibility. Try to design the network DB and simulate the algorithm. As a result, it is now possible to do the path searching that considers variety of recognition factors and show the method how to make the path-searching algorithm for pedestrian.