• Journal of Digital Convergence
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• v.5 no.2
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• pp.135-154
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• 2007

Web 2.0 is a platform which produce various service offered data from many people and it is activity open space depend on user focused community in diversity web environment. Web 2.0 is simple link structure with web site connectivity in informations such as page to page in other words, it is meaning of developing of semantical and circumstantial connection. The core of web 2.0 is user participation. RSS, Mash-up, UCC are main service of web 2.0 which make user directly participate from center of service offer to center of user manufactured an informations and then they offer re-information to other areas, also user freely express what they want through UCC and blogger. However, recently it comes the argument of skeptic of web 2.0 problem. Thus, In this research I will try to give an right comprehension and will try to have more accurate prediction of web 2.0 with the study of open service of web which is the key of web 2.0 success in a future.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.3
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• pp.179-182
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• 2005

A model of an assessment module has been created, using intuitionistic fuzzy estimations, which render account on the knowledge of the trained objects. The final mark is determined on the basis of a set of evaluation units. An opportunity is offered no only fur tracing the changes of the parameters of the trainer object, but there is also an opportunity of tracing the status of the already comprehended knowledge, as well as evaluating and changing the training themes and evaluation criteria.

• Annual Conference of KIPS
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• 2019.10a
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• pp.922-925
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• 2019

기계 독해 기술은 기계가 주어진 비정형 문서 내에서 사용자의 질문을 이해하여 답변을 하는 기술로써, 챗봇이나 스마트 스피커 등, 사용자 질의응답 분야에서 핵심이 되는 기술 중 하나이다. 최근 딥러닝을 이용한 기학습 언어모델과 전이학습을 통해 사람의 기계 독해 능력을 뛰어넘는 방법론들이 제시되었다. 하지만 이러한 방식은 사람이 인식하는 질의응답 방법과 달리, 개체가 가지는 의미론(Semantic) 관점보다는 토큰 단위로 분리된 개체의 형태(Syntactic)와 등장하는 문맥(Context)에 의존해 기계 독해를 수행하였다. 본 논문에서는 기존의 높은 성능을 나타내던 기학습 언어모델에 대규모 지식그래프에 등장하는 개체 정보를 함께 학습함으로써, 의미학적 정보를 반영하는 방법을 제시한다. 본 논문이 제시하는 방법을 통해 기존 방법보다 기계 독해 분야에서 높은 성능향상 결과를 얻을 수 있었다.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.326-329
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• 2019

기계독해를 실용화하기 위해 단락을 검색하는 검색 모델은 최근 기계독해 모델이 우수한 성능을 보임에 따라 그 필요성이 더 부각되고 있다. 그러나 기존 검색 모델은 질의와 단락의 어휘 일치도나 유사도만을 계산하므로, 기계독해에 필요한 질의 어휘의 문맥에 해당하는 단락 검색을 하지 못하는 문제가 있다. 본 논문에서는 이러한 문제를 해결하기 위해 Word2vec의 입력 단어열의 벡터에 해당하는 IN Weight Matrix와 출력 단어열의 벡터에 해당하는 OUT Weight Matrix를 사용한 단락 검색 모델을 제안한다. 제안 방법은 기존 검색 모델에 비해 정확도를 측정하는 Precision@k에서 좋은 성능을 보였다.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.609-614
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• 2023

최근 인공지능 시스템이 발전함에 따라 사람보다 높은 성능을 보이고 있다. 또한 전문 지식에 특화된 분야(질병 진단, 법률, 교육 등)에도 적용되고 있지만 이러한 전문 지식 분야는 정확한 판단이 중요하다. 이로 인해 인공지능 모델의 결정에 대한 근거나 해석의 중요성이 대두되었다. 이를 위해 설명 가능한 인공지능 연구인 XAI가 발전하게 되었다. 이에 착안해 본 논문에서는 기계독해 프레임워크에 순환 신경망 디코더를 활용하여 정답 뿐만 아니라 예측에 대한 근거를 추출하고자 한다. 실험 결과, 모델의 예측 답변이 근거 문장 내 등장하는지에 대한 실험과 분석을 수행하였다. 이를 통해 모델이 추론 과정에서 예측 근거 문장을 기반으로 정답을 추론한다는 것을 확인할 수 있었다.

• Advances in nano research
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• v.15 no.6
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• pp.513-520
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• 2023

The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

• Annual Conference of KIPS
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• 2024.05a
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• pp.733-736
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• 2024

최근 GTP4, LLama와 같은 초거대 언어모델을 활용한 서비스가 공개되어 많은 사람의 주목을 받고 있다. 해당 모델들은 사용자들의 다양한 질문에 대하여 유창한 결과를 생성하고 있지만 한국어 데이터에 대한 학습량이 부족하여 한국어 이해 및 한국 문화 등에 대한 잘못된 정보를 제공하는 문제를 야기할 수 있다. 이에 본 논문에서는 한국어 데이터를 학습한 주요 공개 모델 6개를 선정하고 5개 분야(한국어 이해 및 문화 영역으로 구성)에 대한 평가 데이터셋을 구성하여 한국어 이해 능력에 대한 평가를 진행하였다. 그 결과 한국어 구사 능력은 Bookworm 모델이, 한국어 이해 및 문화와 관련한 부문은 LDCC-SOLAR 모델이 우수한 것으로 확인할 수 있었다.

• Health Policy and Management
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• v.14 no.2
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• pp.78-98
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• 2004

The purpose of this study was to categorize the contribution evasion and develop the expected models for contribution arrears in National Health Care System. The modified logistic regression model in non-payments was used as logistic regression model based on the statistical method. By using this model, we arranged non-payment types and typical branches those are appeared by statistical technique. First fact, sex and age branches those are able to take a part in economy had effect mostly. Also they had difference in non-payment probability by existence of their incomes and property. Especially people who didn't have their own house and car were appeared in high non-payment probability, disease and reduction characteristic(rare diseases, reduction of seniors, handicaps, numbers of medical treatments) didn't effect much in probability. The reason for some characteristic of non-payment which is higher than the correct threshold value of Logistic Regression Model (a suggested model for predicting non-payment)'s distribution of probability was mostly moral hazard. Living difficulty was the bigger reason for non-payment, but moral slackening was the bigger reason for non-payment. But it is careless to decide that moral hazard is just the reason, there is a necessity to examine on the side of sociology based in family. By the reason, the member's non-payment reason can be classified by economy, population, and psychology, but there was a comprehension that losing of work desire could be one reason. So we analyzed informations for composition of family of members. In conclusion, we grasped that family conflict makes non-payment and conversion of member in the National Basic Livelihood Protection System difficult.

• Culinary science and hospitality research
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• v.22 no.1
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• pp.9-18
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• 2016

The purpose of this paper was to explore the narrative strategy of storytelling advertisement videos for a beer brand Heineken. Heineken was one of the most active advertisers who had made very impressive ad videos. The author selected five story driven advertisement videos which had been most frequently watched by Internet viewers. Those were "The Insider", "Odyssey 2011", "Heineken lip gross", "Italy Activation Milan AC vs. Real Madrid", "the Match". The five selected videos have 90 second running time. The target videos were repeatedly watched and the expected key image cuts and key verbal copies were captured as well. To categorize the narrative structure and key copies of each video, Fog, Budtz & Yakaboylu's four element model of storytelling and Gustav Freytag's three act structure or five stage model of a plot were exploited as underlying theories. Most of the ad videos had clear boundary between or among the stages of the plot and used emotional appeals including humor and sexual appeals. This paper found that the target videos used visual rhetorics to enhance the viewers' persuasion and comprehension. It also revealed that the target videos took advantage of football match as an emotional engagement to get ad viewers closely banded with Heineken.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.10a
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• pp.601-612
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• 2005

In mountainous area, Two parallel tunnels have been usually recognized as a road tunnel which has benefits in aspects of cost and stability. However, Design and construction of 2-Arch road tunnel are growing recently due to environmental destruction, compensation of land and difficulty of route separation. As studies are mainly undergoing on only guaranteeing stability and developing a waterproofing-drainage system to avoid water leakage through comprehension for characteristics of 2-arch tunnel behaviors, there is a tendency to evaluate quantity of support by empirical method with a tunnel which has a complicated cross-section and lack of construction ability. In this study, therefore, we made a plan of tunnel cross-section which had shown good construction ability and developed the waterproofing-drainage system which is able to solve the water leakage problem fundamentally by analyzing precedented 2-arch tunnels and investigating their sites in and out of nation. We also determined fixed quantity of support by a large-scale model test and numerical analysis. We want to contribute to 2-arch tunnel design hereafter introducing design procedure and method applied here.