• Journal of Powder Materials
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• v.24 no.4
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• pp.285-291
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• 2017

We propose a custom analysis technique for the dark field (DF) image based on transmission electron microscopy (TEM). The custom analysis technique is developed based on the $DigitalMicrograph^{(R)}$ (DM) script language embedded in the Gatan digital microscopy software, which is used as the operational software for most TEM instruments. The developed software automatically scans an electron beam across a TEM sample and records a series of electron diffraction patterns. The recorded electron diffraction patterns provide DF and ADF images based on digital image processing. An experimental electron diffraction pattern is recorded from a IrMn polycrystal consisting of fine nanograins in order to test the proposed software. We demonstrate that the developed image processing technique well resolves nanograins of ~ 5 nm in diameter.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.749-752
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• 2001

In this paper, the channel access algorithm for the AIS is analyzed and the design of the functional modules is presented. The function of RATDMA, ITDMA, FATDMA, and SOTDMA algorithm defined by ITU-R M.1371 specification is analyzed. Each TDMA algorithm is designed as a modularized function. In order to verify the function of designed channel access algorithm, the algorithm is implemented using C language and simulated on the PC environment. The simulation results show that the algorithm ran properly allocate a transmission slot and is satisfied with the requirements of the specification.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.689-702
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• 2017

The Structured Query Language (SQL) Injection continues to be one of greatest security risks in the world according to the Open Web Application Security Project's (OWASP) [1] Top 10 Security vulnerabilities 2013. The ease of exploitability and severe impact puts this attack at the top. As the countermeasures become more sophisticated, SOL Injection Attacks also continue to evolve, thus thwarting the attempt to eliminate this attack completely. The vulnerable data is a source of worry for government and financial institutions. In this paper, a detailed survey of different types of SQL Injection and proposed methods and theories are presented, along with various tools and their efficiency in intercepting and preventing SQL attacks.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.487-490
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• 2019

시각과 언어 기반의 이동(VLN)은 3차원 실내 환경에서 실시간 입력 영상과 자연어 지시들을 이해함으로써, 에이전트 스스로 목적지까지 이동해야 하는 인공지능 문제이다. 이 문제는 에이전트의 영상 및 자연어 이해 능력뿐만 아니라, 상황 추론과 행동 계획 능력도 함께 요구하는 복합 지능 문제이다. 본 논문에서는 시각과 언어 기반의 이동(VLN) 작업을 위한 새로운 심층 신경망 모델을 제안한다. 제안모델에서는 입력 영상에서 합성곱 신경망을 통해 추출하는 시각적 특징과 자연어 지시에서 순환 신경망을 통해 추출하는 언어적 특징 외에, 자연어 지시에서 언급하는 장소와 랜드마크 물체들을 영상에서 별도로 탐지해내고 이들을 추가적으로 행동 선택을 위한 특징들로 이용한다. 다양한 3차원 실내 환경들을 제공하는 Matterport3D 시뮬레이터와 Room-to-Room(R2R) 벤치마크 데이터 집합을 이용한 실험들을 통해, 본 논문에서 제안하는 모델의 높은 성능과 효과를 확인할 수 있었다.

• Genomics & Informatics
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• v.16 no.4
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• pp.37.1-37.3
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• 2018

Gene-gene interaction is a key factor for explaining missing heritability. Many methods have been proposed to identify gene-gene interactions. Multifactor dimensionality reduction (MDR) is a well-known method for the detection of gene-gene interactions by reduction from genotypes of single-nucleotide polymorphism combinations to a binary variable with a value of high risk or low risk. This method has been widely expanded to own a specific objective. Among those expansions, fuzzy-MDR uses the fuzzy set theory for the membership of high risk or low risk and increases the detection rates of gene-gene interactions. Fuzzy-MDR is expanded by a maximum likelihood estimator as a new membership function in empirical fuzzy MDR (EFMDR). However, EFMDR is relatively slow, because it is implemented by R script language. Therefore, in this study, we implemented EFMDR using RCPP ($c^{{+}{+}}$ package) for faster executions. Our implementation for faster EFMDR, called EMMDR-Fast, is about 800 times faster than EFMDR written by R script only.

• Journal of information and communication convergence engineering
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• v.20 no.4
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• pp.265-272
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• 2022

The most effective method to improve information system capabilities is to enable instant access to several relational database sources and transform data with a logical structure into multiple target relational databases. There are numerous data transformation tools available; however, they typically contain fixed procedures that cannot be changed by the user, making it impossible to fulfill the near-real-time data transformation requirements. Furthermore, some tools cannot build object references or alter attribute constraints. There are various situations in which tool changes in data type cause conflicts and difficulties with data quality while transforming between the two systems. The R-programming language was extensively used throughout this study, and several different relational database structures were utilized to complete the proposed study. Experiments showed that the developed study can improve the performance of information systems by interacting with and exchanging data with various relational databases. The study addresses data quality issues, particularly the completeness and integrity dimensions of the data transformation processes.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.992-995
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• 2020

시각-언어 이동 작업은 에이전트가 주어진 지시를 따라 특정 실내 공간 내에서 목적 위치로 이동하는 작업이다. 시각-언어 이동 작업의 특성상 자연어 지시 속에 등장하는 랜드마크인 장소 정보를 인지하는 것은 작업을 수행하는 데 큰 도움이 된다. 본 논문에서는 환경을 구성하는 주요 장소 정보를 저장하기 위한 장소 미리보기 메모리를 제안한다. 에이전트는 장소 미리보기 메모리에 저장된 장소 정보를 고려하여 작업을 수행하게 된다. 본 논문에서는 Matterport3D 시뮬레이션 환경에서의 실험을 통해 R2R 벤치마크 데이터 집합에서 가장 높은 성능을 보였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.559-562
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• 2020

시각-언어 이동 문제는 시각 이해와 언어 이해 능력을 함께 요구하는 복합 지능 문제이다. 본 논문에서는 시각-언어 이동 에이전트를 위한 새로운 학습 모델을 제안한다. 이 모델은 데모 데이터에 기초한 모방 학습과 행동 보상에 기초한 강화 학습을 함께 결합한 복합 학습을 채택하고 있다. 따라서 이 모델은 데모 데이타에 편향될 수 있는 모방 학습의 문제와 상대적으로 낮은 데이터 효율성을 갖는 강화 학습의 문제를 상호 보완적으로 해소할 수 있다. 또한, 제안 모델은 서로 다른 두 학습 간에 발생 가능한 학습 불균형도 고려하여 손실 정규화를 포함하고 있다. 또, 제안 모델에서는 기존 연구들에서 사용되어온 목적지 기반 보상 함수의 문제점을 발견하고, 이를 해결하기 위해 설계된 새로은 최적 경로 기반 보상 함수를 이용한다. 본 논문에서는 Matterport3D 시뮬레이션 환경과 R2R 벤치마크 데이터 집합을 이용한 다양한 실들을 통해, 제안 모델의 높은 성능을 입증하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.2
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• pp.113-124
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• 2015

Unlike structured data which are gathered and saved in a predefined structure, unstructured text data which are mostly written in natural language have larger applications recently due to the emergence of web 2.0. Text mining is one of the most important big data analysis techniques that extracts meaningful information in the text because it has not only increased in the amount of text data but also human being's emotion is expressed directly. In this study, we used R program, an open source software for statistical analysis, and studied algorithm implementation to conduct analyses (such as Frequency Analysis, Cluster Analysis, Word Cloud, Social Network Analysis). Especially, to focus on our research scope, we used keyword extract method based on a Data Dictionary. By applying in real cases, we could find that R is very useful as a statistical analysis software working on variety of OS and with other languages interface.

• Journal of Digital Convergence
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• v.16 no.6
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• pp.9-18
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• 2018

Recently, the necessity and interest to improve the tourism preparedness for enhancing the quality of foreign tourists is increasing, but the related research is insufficient. The purpose of this study is to identify the preferential improvement elements related to the tourism preparedness of foreign tourists. To do this, we applied the R-IPA analysis to analyze and compare the elements affecting the tourist preparedness according to tourist type and time period. As a result of R-IPA analysis for all tourists, the elements that need to maintain the current quality levels were food, security, transit, shopping, and tourist attractiveness and the elements that need to be improved but low priority were language communication, travel expenses, and tourist information service. As a result of R-IPA analysis by tourist type, for individual tourists it is necessary to maintain current quality levels of transit, food, shopping, tourist attractiveness, and security. For group tourists, it is necessary to maintain current quality levels of accommodation, shopping, tourist attractiveness, and tourist information service, but food needs to be urgent improvement.