• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.377-380
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• 2023

본 논문에서는 합성곱 신경망(Convolutional Neural Networks, CNN)과 탄성왜곡(Elastic Distortion) 기법을 통한 데이터 증강 기법을 활용하여 학습 데이터를 구축하는 프레임워크를 제안한다. 실제 균열 이미지는 정형화된 형태가 없고 복잡한 패턴을 지니고 있어 구하기 어려울 뿐만 아니라, 데이터를 확보할 때 위험한 상황에 노출될 우려가 있다. 이러한 데이터베이스 구축 문제점을 본 논문에서 제안하는 데이터 증강 기법을 통해 비용적, 시간적 측면에서 효율적으로 해결한다. 세부적으로는 DeepCrack의 데이터를 10배 이상 증가하여 실제 균열의 특징을 반영한 메타 데이터를 생성하여 U-net을 학습하였다. 성능을 검증하기 위해 균열 탐지 연구를 진행한 결과, IoU 정확도가 향상되었음을 확인하였다. 데이터를 증강하지 않았을 경우 잘못 예측(FP)된 경우의 비율이 약 25%였으나, 데이터 증강을 통해 3%까지 감소하였음을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.239-241
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• 2023

본 논문은 통신 시스템에 주로 사용되는 디지털 전자 서명 알고리즘 중 양자 내성 암호인 SPHINCS+ 알고리즘에 대한 효과적인 하드웨어 설계 방안에 대한 연구이다. SPHINCS+ 알고리즘은 해시 함수 기반 알고리즘으로, 많은 횟수의 해시 함수가 반복해서 사용된다. 해시 함수를 가속 연산해도, 그 횟수가 크기 때문에 SPHINCS+ 알고리즘은 다른 전자 서명 알고리즘보다 하드웨어 설계 후 큰 latency 를 가지는 특징이 있다. 이를 극복하기 위해 SPHINCS+ 알고리즘에서 사용되는 해시 함수들을 면밀하게 분석한다. 그 결과 같은 해시 함수에 대해서도 입출력 데이터 크기가 다양하게 변화하고, 서로 다른 데이터 플로우를 가지는 그 세부 차이점들을 파악하여, 이를 접목한 하드웨어 설계에 대해 논의한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.333-336
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• 2024

스마트팩토리는 기존 제조산업에 ICT 기술이 융합된 지능형 공장이다. 이는 IT(Information Technology)영역과 OT(Operation Technology)으로 구분되고, 영역 간 연결을 통해 제조공정 자동화 및 지능화를 수행한다. IT영역은 외부 네트워크와 연결되어 스마트팩토리의 전사업무 관리를 수행하며, OT영역은 폐쇄망 네트워크로 구성되어 직접적인 제조과정을 수행한다. 이는 2개의 영역으로 구분되어 자동화 및 지능화된 제조공정 과정을 수행함에 따라 구조가 복잡해지고 있으며, 이로 인해 스마트팩토리 보안위협이 발생 가능한 공격 표면이 증가하고 있다. 이에 대응하기 위해서는 스마트팩토리 IT영역과 OT영역의 특징을 분석하고, 영역별 적합한 보안위협 대응체계를 수립해야 한다. 이에 따라, 본 논문에서는 다수의 장치에 대한 학습이 용이하고, 세부적으로 학습기법을 구분할 수 있는 연합학습을 활용하여 스마트팩토리 영역별 적합한 보안위협 대응방안을 제안한다.

• Sleep Medicine and Psychophysiology
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• v.24 no.1
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• pp.46-54
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• 2017

Objectives: Domestic violence is related to many psychiatric diseases, such as depression, anxiety disorder, and PTSD. Heart rate variability (HRV) is an index of autonomic control of the heart and is related to cardiovascular and emotional disorders. Although there have been some studies on the effects of domestic violence on women's mental health, relatively little information is available on HRV in this population. The aim of this study is to investigate demographic data, psychological features, and HRV in female victims of domestic violence and difference between Korean and foreign female victims. Methods: A total of 210 female victims of domestic violence (166 Korean women and 44 foreign women) were recruited for this study. Psychological symptoms were measured using the Hamilton Rating Scale for Anxiety (HAM-A), Hamilton Rating Scale for Depression (HAM-D), and Impact of Event Scale-Revised (IES-R). HRV measures were assessed by time-domain and frequency-domain analyses. Results: The mean score of HAM-A was 13.81, that of HAM-D was 12.92, and that of IES-R was 33.61 ; there were no significant differences between Korean and foreign women in these measures. In HRV time domain analyses, approximate entropy (ApEn) was significantly increased in foreign women compared to the Korean women. The square root of the mean of the sum of the squares of differences between adjacent NN intervals (RMSSD) was significantly decreased in foreign women compared to Korean women. There were no significant differences in the other HRV variables between Korean and foreign women. Conclusion: Female victims of domestic violence in Korea are associated with depression, anxiety, and PTSD symptoms. The physiologic factors of a female victim's nationality could be related to higher ApEn and lower RMSSD in foreign female victims. These findings have important implications for future study to study the relationships among ethnic and environmental factors and HRV variables.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.95-105
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• 2003

A novel reference point detection method is proposed by exploiting tile gradient probabilistic model that captures the curvature information of fingerprint. The detection of reference point is accomplished through searching and locating the points of occurrence of the most evenly distributed gradient in a probabilistic sense. The uniformly distributed gradient texture represents either the core point itself or those of similar points that can be used to establish the rigid reference from which to map the features for recognition. Key benefits are reductions in preprocessing and consistency of locating the same points as the reference points even when processing arch type fingerprints. Moreover, the new feature extraction method is proposed by improving the existing feature extraction using filterbank method. Experimental results indicate the superiority of tile proposed scheme in terms of computational time in feature extraction and verification rate in various noisy environments. In particular, the proposed gradient probabilistic model achieved 49% improvement under ambient noise, 39.2% under brightness noise and 15.7% under a salt and pepper noise environment, respectively, in FAR for the arch type fingerprints. Moreover, a reduction of 0.07sec in reference point detection time of the GPM is shown possible compared to using the leading the poincare index method and a reduction of 0.06sec in code extraction time of the new filterbank mettled is shown possible compared to using the leading the existing filterbank method.

• Journal of the Korean Geographical Society
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• v.49 no.5
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• pp.716-727
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• 2014

Yeon-Am's observation of natural objects will be able to contribute to the cultivation of the observation skills. In this study, I analysed Yeon-Am's observation skills in the book "Yorha Ilgi". Yeon-Am's observation skills are as follows. First, Yeon-Am observed a specific and detailed. Second, Yeon-Am was examined by utilizing the five senses and presented its risks and limitations. Third, Yeon-Am observed with the equality between man and nature and looked at the same level of human and nature. Fourth, Yeon-Am expressed those observed by utilizing the shaping techniques vividly. Fifth, Yeon-Am found a variety of features by a variety of perspectives. The orgin of Yeon-Am's writing is based on specific and detailed observations of the natural objects, joining nature, shaping techniques and diversity in perspective.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.167-178
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• 2020

The purpose of this paper is to establish a defect classification system for defects before inspection and to derive the pattern and characteristics of defects before inspection by examining about 3,110 defect items for 133 apartment buildings. The study analysis revealed a relatively high rate of defects before inspection that occurred in finishing work. Second, defects occurred such as cracking of external wall, which is a very important defect. However, defects before inspection were relatively rare on the external wall. Finally, defects before inspection occurred during waterproofing in the common area or garage. It is necessary to establish a reasonable basis or countermeasure to resolve differences between stakeholders as various issues may arise in the course of a dispute, as a result of identifying the details of defects within the top 20 of the defectives.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.235-258
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• 2017

The purpose of this study is to analyze research trends of archives management in Korea by comparing LDA (Latent Semantic Allocation) topic modeling, which is the most famous method in text mining, and HDP (Hierarchical Dirichlet Process) topic modeling, which is developed LDA topic modeling. Firstly we collected 1,027 articles related to archives management from 1997 to 2016 in two journals related with archives management and four journals related with library and information science in Korea and performed several preprocessing steps. And then we conducted LDA and HDP topic modelings. For a more in-depth comparison analysis, we utilized LDAvis as a topic modeling visualization tool. At the results, LDA topic modeling was influenced by frequently keywords in all topics, whereas, HDP topic modeling showed specific keywords to easily identify the characteristics of each topic.

• Korean journal of communication and information
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• v.39
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• pp.140-177
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• 2007

The purposes of this study are to analyze how the media reflects the source competition between the activist group and the governmental source in the news contents. Media ideology and the conflict phase also were chosen as situational variables for evaluating how those variables could influence the source competition process. To answer the proposed research questions, the study chose the 'screen quota' issue as a research unit and analyzed documents from three sources, media news, the activist group for maintaining screen quota, and the governmental source during six years and three months. The results showed that the government source played a primary definer role in media reporting related to the screen quota issue, compared to the activist group. The governmental source's primary definer role was maintained against the highly contested social issue while the media ideology, to some degree, leveraged the activist group's comparatively unstable primary definer power. The governmental source's primary definer role was escalated as the conflict phase evolved.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.341-360
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• 2015

This paper proposes a noble service architecture based on scientific infographic as well as semi-automatic knowledge process for 'KISTI's Scent of Science' database, which has been highly credited as a science journalism service in Korea. Unlike other specialized scientific databases for domain experts and scientists, the database aims at providing comprehensible and intuitive information about various important scientific concepts which may seem not to be easily understandable to general public. In order to construct a knowledge-base from the database, we deeply analyze the traits of the database and then establish a semi-automatic approach to identify and extract various scientific intelligence from its contents. Furthermore, this paper defines a scientific infographic service platform based on the knowledge-base by offering its detailed structure, methods and characteristics, which shows a progressive future direction for science journalism service.