• 한국재료학회지
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• 제31권12호
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• pp.719-726
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• 2021

Through the process of chemical vapor deposition, Tungsten Hexafluoride (WF₆) is widely used by the semiconductor industry to form tungsten films. Tungsten Hexafluoride (WF₆) is produced through manufacturing processes such as pulverization, wet smelting, calcination and reduction of tungsten ores. The manufacturing process of Tungsten Hexafluoride (WF₆) is required thorough quality control to improve productivity. In this paper, a real-time detection system for oxidation defects that occur in the manufacturing process of Tungsten Hexafluoride (WF₆) is proposed. The proposed system is implemented by applying YOLOv5 based on Convolutional Neural Network (CNN); it is expected to enable more stable management than existing management, which relies on skilled workers. The implementation method of the proposed system and the results of performance comparison are presented to prove the feasibility of the method for improving the efficiency of the WF₆ manufacturing process in this paper. The proposed system applying YOLOv5s, which is the most suitable material in the actual production environment, demonstrates high accuracy (mAP@0.5 99.4 %) and real-time detection speed (FPS 46).

• 시스템엔지니어링학술지
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• 제18권2호
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• pp.50-57
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• 2022

Along with the development of the 4^th Industrial Revolution technology, artificial intelligence technology is also being used in the field of systems engineering. This study analyzed the development status of artificial intelligence technology in the areas of systems engineering core processes such as stakeholder needs and requirements definition, system requirement analysis, and system architecture definition, and presented future technology development directions. In the definition of stakeholder needs and requirements, technology development is underway to compensate for the shortcomings of the existing requirement extraction methods. In the field of system requirement analysis, technology for automatically checking errors in individual requirements and technology for analyzing categories of requirements are being developed. In the field of system architecture definition, a technology for automatically generating architectures for each system sector based on requirements is being developed. In this study, these contents were summarized and future development directions were presented.

• Imaging Science in Dentistry
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• 제50권3호
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• pp.237-243
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• 2020

Purpose: The aim of this study was to evaluate the clinical efficacy of a Tanner-Whitehouse 3 (TW3)-based fully automated bone age assessment system on hand-wrist radiographs of Korean children and adolescents. Materials and Methods: Hand-wrist radiographs of 80 subjects (40 boys and 40 girls, 7-15 years of age) were collected. The clinical efficacy was evaluated by comparing the bone ages that were determined using the system with those from the reference standard produced by 2 oral and maxillofacial radiologists. Comparisons were conducted using the paired t-test and simple regression analysis. Results: The bone ages estimated with this bone age assessment system were not significantly different from those obtained with the reference standard (P>0.05) and satisfied the equivalence criterion of 0.6 years within the 95% confidence interval (-0.07 to 0.22), demonstrating excellent performance of the system. Similarly, in the comparisons of gender subgroups, no significant difference in bone age between the values produced by the system and the reference standard was observed (P>0.05 for both boys and girls). The determination coefficients obtained via regression analysis were 0.962, 0.945, and 0.952 for boys, girls, and overall, respectively (P=0.000); hence, the radiologist-determined bone ages and the system-determined bone ages were strongly correlated. Conclusion: This TW3-based system can be effectively used for bone age assessment based on hand-wrist radiographs of Korean children and adolescents.

• 한국인공지능학회지
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• 제5권2호
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• pp.15-25
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• 2017

Recently, technologies are being developed to recognize and authenticate users using bioinformatics to solve information security issues. Biometric information includes face, fingerprint, iris, voice, and vein. Among them, face recognition technology occupies a large part. Face recognition technology is applied in various fields. For example, it can be used for identity verification, such as a personal identification card, passport, credit card, security system, and personnel data. In addition, it can be used for security, including crime suspect search, unsafe zone monitoring, vehicle tracking crime.In this thesis, we conducted a study to recognize faces by detecting the areas of the face through a computer webcam. The purpose of this study was to contribute to the improvement in the accuracy of Recognition of Face Based on CNN Algorithms. For this purpose, We used data files provided by github to build a face recognition model. We also created data using CNN algorithms, which are widely used for image recognition. Various photos were learned by CNN algorithm. The study found that the accuracy of face recognition based on CNN algorithms was 77%. Based on the results of the study, We carried out recognition of the face according to the distance. Research findings may be useful if face recognition is required in a variety of situations. Research based on this study is also expected to improve the accuracy of face recognition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권12호
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• pp.6080-6096
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• 2019

Text classification is one of the fundamental techniques in natural language processing. Numerous studies are based on text classification, such as news subject classification, question answering system classification, and movie review classification. Traditional text classification methods are used to extract features and then classify them. However, traditional methods are too complex to operate, and their accuracy is not sufficiently high. Recently, convolutional neural network (CNN) based one-hot method has been proposed in text classification to solve this problem. In this paper, we propose an improved method using CNN based skip-gram method for Chinese text classification and it conducts in Sogou news corpus. Experimental results indicate that CNN with the skip-gram model performs more efficiently than CNN-based one-hot method.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• 전기전자학회논문지
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• 제27권3호
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• pp.213-219
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• 2023

경찰청 통계자료에 따르면 코로나19 이후 문자 또는 메신저를 이용한 스미싱(Smishing) 범죄가 급증하였다. 또한 정부 기관에 접수된 공공기관 사칭 건수의 대부분이 백신접종 및 보상 관련하여 가짜 URL(Uniform Resource Locator)을 클릭하도록 유도하는 수법이 다수 사용되었다. 주로 URL의 정보를 숨긴 단축 URL을 사용하며 탐지할 때 URL 기반 탐지방법은 URL의 정보를 숨기면 제대로 탐지할 수 없고, 콘텐츠 기반 탐지 방법은 탐지 속도가 느리고 많은 자원을 사용한다. 이에 본 논문에서는 GRU(Gated Recurrent Units)를 이용한 단축 URL을 판별하는 과정을 통해 일반 URL일 때 transformer를 통한 URL 기반 탐지, 단축 URL일때 XGBoost를 이용한 콘텐츠 기반 탐지하는 시스템을 제안한다. 제안한 탐지 시스템의 F1-Score는 94.86이었고, 처리시간은 평균 5.4초가 소요되었다.

• International journal of advanced smart convergence
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• 제10권3호
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.23-28
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• 2022

최근 스마트폰 또는 타블렛 PC와 같은 스마트기기가 정보의 창구 역할을 하게 되면서 다수의 사용자가 웹포털을 통해 웹 뉴스를 소비하는 것이 더욱 중요해졌다. 하지만 인터넷 상에 생성되는 뉴스의 양을 사용자들이 따라가기 힘들며 중복되고 반복되는 폭발하는 뉴스 기사에 오히려 혼란을 야기 시킬 수도 있다. 본 논문에서는 뉴스 포털에서 사용자의 질의로부터 검색된 뉴스후보들 중 KoBART 기반의 문서요약 기술을 활용한 뉴스 추천 시스템을 제안한다. 실험을 통해서 새롭게 수집된 뉴스 데이터를 기반으로 학습한 KoBART의 성능이 사전훈련보다 더욱 우수한 결과를 보여주었으며 KoBART로부터 생성된 요약문을 환용하여 사용자에게 효과적으로 뉴스를 추천하였다.

• KNOM Review
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• 제24권2호
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• pp.35-47
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• 2021

끊임없는 경쟁과 발전을 요구하는 현대사회에는 다양한 스트레스가 존재하고 그 스트레스는 많은 경우 인물의 표정과 언어로 표현된다. 따라서 스트레스는 표정과 언어 분석을 통하여 측정할 수 있으며, 이를 효율적으로 관리하기 위한 시스템 개발이 필요하다. 본 연구에서는 표정과 언어 감성 분석을 통하여 스트레스를 측정할 수 있는 시스템을 제안한다. 인물의 표정과 언어 감성을 분석하여 주요 감성값 기준으로 스트레스 지수를 도출하고 표정과 언어의 일치성을 기준으로 통합 스트레스 지수를 도출하는 스트레스 측정 방법을 제안한다. 스트레스 측정기법을 통한 정량화, 일반화는 다수의 연구자가 객관적인 기준으로 스트레스 지수를 평가할 수 있도록 할 수 있다.