• 한국정보통신학회논문지
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• 제26권8호
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• pp.1158-1164
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• 2022

본 연구는 모바일 간편결제 시스템을 사용하는 과정에서 지속적인 사용 의도를 형성하기 위해 신뢰가 구축되는 과정을 감성적 반응 과정과 인지적 반응 과정을 구분하고, 여러 외부 요인들이 각 반응 과정을 통해 지속적 사용 의도 즉, 행동적 반응을 발생시키는 과정을 살펴보았다. 외부 요인은 사회적(사회적 규범, 이미지), 시스템적(간편성, 접근성), 사회적(보안성, 호환성) 특성으로 구분하고, 감성적 반응은 즐거움과 정서적 신뢰, 인지적 반응은 인지적 신뢰, 그리고 종속 변수는 지속 사용의도로 설정하고, 모형 분석을 위해 설문 조사를 실시하고, 분석 결과를 도출하였다.

• Steel and Composite Structures
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• 제42권2호
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• pp.277-288
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• 2022

A novel flat steel plate-concrete-corrugated steel plate (FS-C-CS) sandwich panel was proposed for resisting impact load. The failure mode, impact force and displacement response of the FS-C-CS panel under impact loading were studied via drop-weight impact tests. The combined global flexure and local indentation deformation mode of the FS-C-CS panel was observed, and three stages of impact process were identified. Moreover, the effects of corrugated plate height and steel plate thickness on the impact responses of the FS-C-CS panels were quantitatively analysed, and the impact resistant performance of the FS-C-CS panel was found to be generally improved on increasing corrugated plate height and thickness in terms of smaller deformation as well as larger impact force and post-peak mean force. The Finite Element (FE) model of the FS-C-CS panel under impact loading was established to predict its dynamic response and further reveal its failure mode and impact energy dissipation mechanism. The numerical results indicated that the concrete core and corrugated steel plate dissipated the majority of impact energy. In addition, employing end plates and high strength bolts as shear connectors could prevent the slip between steel plates and concrete core and assure the full composite action of the FS-C-CS panel.

• Asian Journal of Innovation and Policy
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• 제10권1호
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• pp.108-131
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• 2021

The increase of international trade across countries and borders results in increased risks associated with the inflow of new pests and diseases. These risks are likely to be increased more rapidly due to climate change. Some countries implement strict regulations on imports to prevent these risks and protect biosecurity, food safety, and public health. However, the problems arise when the diseases and pests are found in a country where their economic structure largely depends on agricultural exports and cause ripple effects on other industries and ecosystems. Therefore, establishing an effective quarantine system is essential to protect and recover from the damage caused by non-native diseases and pests. This study's objectives are 1) analyzing the agricultural policies relate to the quarantine system on diseases and pests in Korea, 2) evaluating the Korea plant quarantine system's value, and 3) simulating plant quarantine policy strategies. We estimated the Korean quarantine system's benefits on diseases and pests to reach these objectives. The benefits are measured with a willingness to pay from respondents surveyed by the contingent valuation method (CVM). The CVM approach directly asks people how much they would willingly pay for food security. Finally, the Korean quarantine system's values are simulated with several policy scenarios and different scales of infection at the regional level. The results of this study can deliver policy implications on the quarantine system innovation in developing countries including Asia.

• 정보화정책
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• 제29권4호
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• pp.43-66
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• 2022

인공지능 기술의 발전과 더불어 세계 각국의 인공지능 기술 특허를 둘러싼 경쟁도 치열해지고 있다. 2000년~2021년간 미국 특허청의 인공지능 기술 특허출원은 꾸준히 증가하고 있는 가운데 2010년대 들어 보다 가파른 성장세를 기록하고 있다. 특허지표를 통해 한국의 인공지능 기술경쟁력을 분석한 결과, 청각지능, 시각지능 등의 세부 분야에서 특허활동성, 영향력, 시장성 등이 우위에 있는 것으로 평가된다. 그러나, 주요국과 비교하여 한국의 인공지능 기술 특허는 양적 활동성, 시장성 확보 측면에서는 상대적으로 우수하나 기술 파급력은 다소 열위에 있는 것으로 나타난다. 최근 인공지능 기술 토픽으로 노이즈 캔슬링, 음성인식 등은 감소한 반면 모델학습 최적화, 스마트센서, 자율주행 등이 활성화되면서 성장이 기대되고 있다. 한국의 경우 사기탐지/보안, 의료 비전러닝 등의 분야에서 특허출원 성과가 다소 부족하여 분발이 요구된다.

• 한국유기농업학회지
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• 제30권2호
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• pp.241-253
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• 2022

The negative impact of climate change on the agricultural sector is rapidly increasing, and it is urgent to prepare policies at the government level to mitigate it. In the case of Rwanda's agricultural sector, which lacks the government's budget and farmers' capital, efficient and effective policy implementation is of paramount importance. To this end, rather than establishing related policies in the public sector from the top down, it is necessary to establish a bottom-up customized policy that is reflected in policy establishment by identifying the characteristics and behaviors of farmers who actually participate in adaptation activities. In this study, the effects of farmers' characteristics and farmers' perception status/adaptation status to climate change on the selection of adaptation methods for climate change were analyzed. 357 rice farmers randomly selected from Eastern Rwanda were surveyed to explore the information related to farmers' perception to climate change and adaptation methods as well as basic information of the farm. Research shows that the probability of selecting a variety of adaptation methods rather than not responding to climate change increases the younger the age, the higher the education level, and the easier access to climate information and credit. As a policy proposals, it is judged that public support such as strengthening agricultural technology support services, including more detailed guidance for elderly and low-educated farmers, and improving access to farm loan services by agricultural financial institutions is needed. In addition, it is necessary to adjust the planting time and cultivation method, provide timely information related to climate change, and provide crop variety improvement services to farmers.

• 한국지리정보학회지
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• 제24권4호
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• pp.127-135
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• 2021

본 연구는 지상 라이다에 의해 획득된 두 가지 유형의 한국전통양식의 건축물에 대한 스캔 데이터로부터 3차원 모델을 생성하는 일련의 처리과정을 제시하고 전통건축물, 문화재, 고고학적 유적지 등을 수치적으로 기록·문서화하기 위한 3D 측량방법을 평가하는데 목적을 두었다. 지상레이저실측을 통한 수치적인 기록화를 필요로 하는 대부분의 고건축물이나 문화재 등은 모든 방향에서 데이터를 취득할 필요성이 있다. 본 논문에서는 대상물 주위의 다중 지점에서 데이터를 획득하여 통합하는 과정을 제시하였다. 또한 레이저 스캔 데이터로부터 건축물의 외부와 내부 양면을 동시에 자동적으로 재구성하는 접근법을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권12호
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• pp.4008-4023
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• 2022

Since machine learning was introduced into cross-site scripting (XSS) attack detection, many researchers have conducted related studies and achieved significant results, such as saving time and labor costs by not maintaining a rule database, which is required by traditional XSS attack detection methods. However, this topic came across some problems, such as poor generalization ability, significant false negative rate (FNR) and false positive rate (FPR). Moreover, the automatic clustering property of graph convolutional networks (GCN) has attracted the attention of researchers. In the field of natural language process (NLP), the results of graph embedding based on GCN are automatically clustered in space without any training, which means that text data can be classified just by the embedding process based on GCN. Previously, other methods required training with the help of labeled data after embedding to complete data classification. With the help of the GCN auto-clustering feature and labeled data, this research proposes an approach to detect XSS attacks (called GCNXSS) to mine the dependencies between the units that constitute an XSS payload. First, GCNXSS transforms a URL into a word homogeneous graph based on word co-occurrence relationships. Then, GCNXSS inputs the graph into the GCN model for graph embedding and gets the classification results. Experimental results show that GCNXSS achieved successful results with accuracy, precision, recall, F1-score, FNR, FPR, and predicted time scores of 99.97%, 99.75%, 99.97%, 99.86%, 0.03%, 0.03%, and 0.0461ms. Compared with existing methods, GCNXSS has a lower FNR and FPR with stronger generalization ability.

• 한국안전학회지
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• 제37권5호
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• pp.80-88
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• 2022

The Korean nuclear industry had developed the SPACE (Safety and Performance Analysis Code for nuclear power plants) code, which adopts a two-fluid, three-field model that is comprised of gas, continuous liquid and droplet fields and has the capability to simulate three-dimensional models. According to the revised law by the Nuclear Safety and Security Commission (NSSC) in Korea, the multiple failure accidents that must be considered for the accident management plan of a nuclear power plant was determined based on the lessons learned from the Fukushima accident. Generally, to improve the reliability of the calculation results of a safety analysis code, verification is required for the separate and integral effect experiments. Therefore, the goal of this work is to verify the calculation capability of the SPACE code for multiple failure accidents. For this purpose, an experiment was conducted to simulate a Control Element Drive Mechanism (CEDM) break with a safety injection failure using the ATLAS test facility, which is operated by Korea Atomic Energy Research Institute (KAERI). This experiment focused on the comparison between the experiment results and code calculation results to verify the performance of the SPACE code. The results of the overall system transient response using the SPACE code showed similar trends with the experimental results for parameters such as the system pressure, mass flow rate, and collapsed water level in component. In conclusion, it can be concluded that the SPACE code has sufficient capability to simulate a CEDM break with a safety injection failure accident.

• 한국정보통신학회논문지
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• 제26권7호
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• pp.1060-1070
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• 2022

정보 기술의 발달로 시스템의 규모는 대형화되고 역할의 종류도 다양해져서 기존의 역할기반 접근제어로는 확장성, 호환성, 복잡성 등의 한계에 부딪히게 되었다. 블록체인 기술은 기존 보안 취약점에 새로운 해법을 제시하며 다양한 분야에서 활용되고 있다. 본 논문에서는 저장소의 접근 빈도와 저장 용량에 따라 요구되는 가스 및 처리 시간이 달라지는 블록체인 환경에서 효율적인 역할기반접근제어를 제안하였다. 제안하는 방식은 재사용 가능한 단위의 역할을 재정의하고, 동적인 상태를 효율적으로 반영할 수 있는 계층적 구조를 도입하여 복잡성을 해결하고 효율성 및 확장성을 강화하였고, 암호화폐 연동이 가능할 수 있도록 사용자 중심의 인증기능을 포함하였다. 제안하는 모델은 마르코프체인을 이용하여 이론적으로 먼저 검증하고, 이더리움 프라이빗 네트워크에서 구현하여 대표함수에 대한 비교 실험을 실행하여 사용자 추가 및 트랜잭션 등록 시에 요구되는 시간과 가스 효율성에 대하여 검증하였다. 향후 이를 기반으로 예외 상황 등을 고려한 구조 확장 및 실험 등이 요구된다.

• 한국인터넷방송통신학회논문지
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• 제22권1호
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• pp.163-170
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• 2022

본 논문은 실생활 속 정제되지 않은 입력으로 인해 안면의 특징점을 추출하여 객체 인식 모델의 이상적인 성능과 속도를 보증해주지 못하는 문제점을 가중치 합산을 통한 저장 알고리즘을 통해 개선하는 방법을 소개한다. 많은 안면인식 프로세스들은 이상적인 상황에서의 정확도를 보장해주지만, 실생활에서 발생할 수 있는 수많은 방해요인에 대해서는 대처하지 못한다는 문제점이 주목받고 있으며 이는 곧 보안과 밀접하게 관련된 안면인식 프로세스에서 심각한 문제를 발생할 수도 있다. 본 논문에서는 사람의 고유한 특징점은 사진의 구도 등의 여러 변수가 있어도 결국 평균적인 하나의 형태를 띤다는 점을 이용하여 입력으로 추출된 특징점을 여러 방해 요인에 과적합 되어있지 않은 소수의 특징점과 비교를 통해 실시간으로 빠르게, 그리고 정확하게 안면인식을 할수 있는 방법을 가중치 합산방식을 통하여 제시한다.