• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.151-164
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• 2006

The aim of this study is to develop a Diagnosis Model of Landscape(DML), which is a kind of Public Participation GIS(PPGIS) under web environment in the landscape planning field. Following the nature of public participation, DML was intended for ordinary people as well as for professional group. Therefore, DML, which is equipped with Survey Map to provide a participant with information in advance, Diagnosis Map to encourage public participation, and Image-base Map module to make a comparative study of photo-images by time series and to save photo-images, furnishes intuitive interfaces easy to use as possible. DML induces the public to participate actively in a debate on landscape problems and gathers data on diverse opinions as well. The experimental running of this DML on Uiryeong-Eup and Hamyang-Eup, Gyeongnam as case study areas, showed that it had great flexibility of use as a diagnosis model of landscape.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1151-1156
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• 2023

In this paper, we propose a deep learning model that utilizes charge/discharge data from initial lithium-ion batteries to predict the remaining useful life of lithium-ion batteries. We build the DMP using the PNP model. To demonstrate the performance of DMP, we organize DML using the LSTM model and compare the remaining useful life prediction performance of lithium-ion batteries between DMP and DML. We utilize the RMSE and RMSPE error measurement methods to evaluate the performance of DMP and DML models using test data. The results reveal that the RMSE difference between DMP and DML is 144.62 [Cycle], and the RMSPE difference is 3.37 [%]. These results indicate that the DMP model has a lower error rate than DML. Based on the results of our analysis, we have showcased the superior performance of DMP over DML. This demonstrates that in the field of lithium-ion batteries, the PNP model outperforms the LSTM model.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.447-454
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• 2005

Generally, Diagram Systems related XML document are designed for certain purpose. It is also difficult to create DML document, because there is no definition of diagram component. In this paper, we design and implement the diagram system to execute the XML document. This diagram system defines the diagram component with WYSIWIG concept ,md it is designed to generate DML document automatically. Therefore, it is possible to develop diagram efficiently and maintain consistency by definition of syntax about diagram with DTD. And this system uses the concept of VPL(Visual Programming Language) to check syntax and semantic about diagram sentence. Though this system, DML documents can be generated easily, and it can also check syntax and perform semantic.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.1333-1336
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• 2003

최근의 인터넷은 기하급수적으로 폭증하는 트래픽을 원활히 수용하기 위하여 광인터넷으로 급속히 전환되고 있다. 이에 따라 새롭게 제시되는 네트워크 구조를 기반으로 네트워크 설계 단계에서 구축단계까지 새로운 운용관리 체계를 필요로 한다. 광인터넷 시뮬레이션 도구는 이러한 요구사항을 효과적으로 지원할 수 있는 도구로서 네트워크 요소시스템의 기능성 검증 및 네트워크 운용성 검증 등을 제공할 수 있다. 한편 광인터넷 시뮬레이션 도구에 있어서 광인터넷의 표현 및 모델링은 주요한 요구사항 중의 하나이며 이는 DML(Domain Modeling Language) 기반의 네트워크 모델링 컴포넌트를 통하여 구성될 수 있다. DML 은 간단하면서 고급의 모델 정의 기능을 제공하고 인터넷과 같은 대규모 모델로의 확장이 용이하며 이종 엔진과의 시뮬레이션 모델교환 형식으로도 사용이 가능하므로, 광인터넷 시뮬레이션 도구에서 시뮬레이션 모델의 표현에 매우 적합하다. 따라서 이 논문에서는 광인터넷 시뮬레이션 도구에 적용 가능한 DML 기반 네트워크 모델링 컴포넌트를 설계한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.448-450
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• 2001

컴퓨팅 환경에서 GUI의 사용이 일반화되면서 다이어그램을 이용한 시스템이 많아지고 있는데 비해, 다이어그램을 이용하는 시스템을 개발하기 위해서는 많은 노력과 시간을 필요로 한다. 이것을 다이어그램의 각 그래픽 컴포넌트를 프로그램으로 개발하여야 하는 문제 때문이다. 이러한 문제를 해결하기 위해서 본 논문에서는 그래픽 편집기를 이용해서 다이어그램 컴포넌트를 기술하고, 이것을 XML 문서로 변환해서, 최종적으로 프로그래밍 코드를 자동적으로 생성하는 DML 시스템을 소개한다. 이 시스템은 다이어그램 컴포넌트를 그래픽 편집기를 이용하여 기술하기 때문에 쉽게 새로운 컴포넌트를 생성할 수 있으며, 생성된 컴포넌트는 XML 문서로 표현되고, 코드 생성기를 통해 프로그래밍 코들 변환되기 문에 프로그래밍 언어에 무관한 장점을 가지고 있다.가지고 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3B
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• pp.95-104
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• 2005

The diagram has a intuition and simplicity So, it is widely used in various fields in current computing environment. But, because of the absence of a standard diagram specification method, we have difficulty in exchanging the diagram data between different diagram software and besides, we spend much money and time to code diagram component, rules and semantics to which diagram would be applied. So We propose a method for defining diagram component's shapes and actions, diagram's rules and semantics using XML. And We design and implement the diagram system which execute XML document specifying diagram. In the diagram system, We can define diagram component in WISWIG manner and generate DML document automatically. So We can develop diagram system more efficiently. And by defining diagram rules using DTD, we also achieve the consistency of DTD meaning. And We propose Semantic Definition XML for specifying diagram semantics. So, diagram sentence which drawn by users could be given semantics and executed in diagram system. In this thesis, many VPL(Visual Programming Language) concepts were adopted to implement diagram system environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.742-762
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• 2015

In this study, we propose a distance metric learning approach called discriminant metric learning (DML) for face verification, which addresses a binary-class problem for classifying whether or not two input images are of the same subject. The critical issue for solving this problem is determining the method to be used for measuring the distance between two images. Among various methods, the large margin nearest neighbor (LMNN) method is a state-of-the-art algorithm. However, to compensate the LMNN's entangled data distribution due to high levels of appearance variations in unconstrained environments, DML's goal is to penalize violations of the negative pair distance relationship, i.e., the images with different labels, while being integrated with LMNN to model the distance relation between positive pairs, i.e., the images with the same label. The likelihoods of the input images, estimated using DML and LMNN metrics, are then weighted and combined for further analysis. Additionally, rather than using the k-nearest neighbor (k-NN) classification mechanism, we propose a verification mechanism that measures the correlation of the class label distribution of neighbors to reduce the false negative rate of positive pairs. From the experimental results, we see that DML can modify the relation of negative pairs in the original LMNN space and compensate for LMNN's performance on faces with large variances, such as pose and expression.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1577-1586
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• 2021

The purpose of this study was to evaluate the effects of debriefing for meaning learning on critical thinking ability, problem-solving ability, communication abilit of nursing students. A nonequivalent control group pretest-posttest design was used in this study. And the subjects were 73 students in D city, including 38 students in experimental group and 35 students in control group. The result critical thinking ability (t=-3.144, p=.002), problem-solving ability (t=-3.248, p=.002), and critical communication ability (t=-4.051, p=<.001) improved more significantly in the experimental group, compared with the control group. Therefor debriefing for meaning learning on nursing students' was effective education method on critical thinking skills, problem-solving skills, communication skills.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.571-573
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• 2002

다이어그램을 이용하는 시스템에서 다이어그램 컴포넌트는 객체의 특성을 갖기 때문에 속성(attribute)과 행위(behavior)로 구성된다. 속성은 다이어그램 컴포넌투의 위치, 크기, 또는 색깔 등의 형태(share)정보를 나타내며, 행위는 최소크기 제한, 최대크기 제한 또는 크기변경 등의 형태정보에 대한 제약사항(constraints)과 다이어그램 컴포넌트가 응용프로그램에서 가지는 의미(semantics)를 말한다. 따라서 형태 정보만을 XML로 나타내는 방법에 대한 기존의 연구로는 다이어그램 컴포넌트가 가져할 객체 특성을 나타내기에는 적합하지 않다. 이러한 문제점을 해결하고자 본 논문에서는 XML을 이용해 다이어그램 컴포넌트가 객체의 특성을 가질 수 있도록 제약 사항과 의미로 구성된 행위 원소를 추출하여 정의하고, 행위를 표현할 수 있는 방법과 행위 일소간의 영향범위를 지정할 수 있는 방법 그리고 이 글 관리한 수 있는 DML 시스템을 소개한다.

• Journal of Food Hygiene and Safety
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• v.38 no.6
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• pp.442-448
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• 2023

This study aimed to prepare kombucha, a fermented tea beverage, containing Dendropanax morbiferus (DM) leaves and roots, and analyze its antioxidant and intracellular activities. We compared the pH change, total acidity, radical scavenging activity, and oxygen radical absorbance capacity (ORAC) of kombucha fermented with black tea alone and that with added DM leaves or roots during fermentation. Using RAW 264.7, we evaluated the effects of kombucha containing different DM parts on nitric oxide (NO) production and inflammation-related cytokine content in cells. Kombucha containing ethanol extracts of DM leaves (BTK-E-DML) and roots (BTK-E-DMR) showed higher radical scavenging activity and ORAC 3 d after fermentation than that prepared from black tea alone (BTK-Ori). In an in vitro experiment using RAW 264.7, samples were treated with 8 mg/mL kombucha considering cytotoxicity; the lipopolysaccharide (LPS)-induced NO content significantly reduced after BTK-E-DML and BTK-EDMR treatments compared with that after BTK-Ori treatment. Additionally, the levels of interleukin-6 and tumor necrosis factor-alpha, which were LPS-stimulated inflammatory cytokines, significantly decreased in cells treated with BTK-E-DML and BTK-E-DMR 15 d after fermentation compared with those treated with BTK-Ori. In conclusion, these results demonstrate that kombucha fermented with the leaves and roots of DM increases antioxidant activity and can significantly regulate inflammatory responses at the cellular level.