• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.177-182
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• 2017

As major ICT technologies such as IoT, cloud computing, and Big Data are being applied to manufacturing, smart factories are beginning to be built. The key of smart factory implementation is the ability to acquire and analyze data of the factory. Therefore, the need for a big data analysis platform is increasing. The purpose of this study is to construct a platform for big data analysis of manufacturing process and propose integrated method for analysis. The proposed platform is a RHadoop-based structure that integrates analysis tool R and Hadoop to distribute a large amount of datasets. It can store and analyze big data collected in the unit process and factory in the automation system directly in HBase, and it has overcome the limitations of RDB - based analysis. Such a platform should be developed in consideration of the unit process suitability for smart factories, and it is expected to be a guide to building IoT platforms for SMEs that intend to introduce smart factories into the manufacturing process.

• Journal of Convergence for Information Technology
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• v.12 no.1
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• pp.163-170
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• 2022

With the advent of the 4th Industrial Revolution, solutions that apply AI technology are being actively developed. Since 2017, the introduction of business automation solutions using AI-based Robotic Process Automation (RPA) has begun in the financial sector and insurance companies, and recently, it is entering a time when it spreads past the stage of introducing RPA solutions. Among the business automation using these RPA solutions, it is very important how accurately textual information in the document is recognized for business automation using various documents. Such character recognition has recently increased its accuracy by introducing deep learning technology, but there is still no recognition model with perfect recognition accuracy. Therefore, in this paper, we checked how much accuracy is improved when pre- and post-processor technologies are applied to deep learning-based character recognition engines, and implemented RPA recognition engines and linkage technologies.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.6
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• pp.193-204
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• 2022

In a smart factory environment in a small and medium-sized enterprise (SME) environment, sensors and actuators operating on actual manufacturing lines, programmable logic controllers (PLCs) to manage them, human-machine interface (HMI) to control and manage such PLCs, and consists of operational technology server to manage PLCs and HMI again. PLC and HMI, which are in charge of control automation, perform direct connection with OT servers, application systems for factory operation, robots for on-site automation, and production facilities, so the development of security technology in a smart factory environment is demanded. However, smart factories in the SME environment are often composed of systems that used to operate in closed environments in the past, so there exist a vulnerable part to security in the current environment where they operate in conjunction with the outside through the Internet. In order to achieve the internalization of smart factory security in this SME environment, it is necessary to establish a process according to the IEC 62443-4-1 Secure Product Development Life cycle at the stage of smart factory SW and HW development. In addition, it is necessary to introduce a suitable development methodology that considers IEC 62443-4-2 Component security requirements and IEC 62443-3 System security requirements. Therefore, this paper proposes an application plan for the IEC 62443 based development security process to provide security internalization to smart factories in an SME environment.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.107-115
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• 2017

Recently, much attention in building smart factory have been dramatically increased. Despite the growing interest in smart factory, few guidelines exist how to successfully build smart factory. The purpose of this study is to investigate successful cases in building smart factory in Korea. Drawing on the analysis of successful cases, we suggest the valuable guidelines and directions toward success of smart factory. As a result, in the case of large-size firms, it is an effective strategy that expanding from a model factory to whole factory for successful smart factory building. In addition, in the case of medium and small-size firms, it is an effective strategy that upgrading from low-level step to high-level step for successful smart factory building. Therefore, this study provides companies and government with specific and practical success strategies as well as industrial policy improvements.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.2
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• pp.397-404
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• 2016

Illegal and harmful contents on the Internet has been an issue and been increased in Korea. They are often posted on the billboard and website of small enterprise and government office. Those illegal and harmful contents can relate to crime and suspicious activity, so, we need a detection system. However, to date the detection itself has been conducted manually by a person. In this paper, we develop an automated URL detection scheme for detecting a drug trafficking by using Google. This system works by analyzing the frequently used keywords in a drug trafficking and generate a keyword dictionary to store words for future search. The suspected drug trafficking URL are automatically collected based on the keyword dictionary by using Google search engine. The suspicious URL can be detected by classifying and numbering each domain from the collection of the suspected URL. This proposed automated URL detection can be an effective solution for detecting a drug trafficking, also reducing time and effort consumed by human-based URL detection.

• Proceedings of the Korean Institute of Surface Engineering Conference
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• 2002.05a
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• pp.21-21
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• 2002

독일, 미국, 일본 등 세계 주요 선진국운 도금전문 중소기업들이 각 산업분야의 첨단 핵심부품의 기능화, 신기능-신제품 창출에 크게 이바지하고 었으며, 도금 및 표면처리 관련 전문연구소와 전문고굽 기술인력이 정부 및 사회단체의 지원으로 끊임없이 관련 기술의 연구와 개발에 여념이 없으며, 관련업계와의 교류에 있어서도 활발하다. 특히 도금설비, 자동화장치, 폐수처리 등 도금관련기술에 1970년대부터 연구개발을 시작 하여 실용화하고 있으며, 최근에는 분자규모 표면제어기술과 제 4세대 도금기술(저가 격-고품질-환경융화-개성화)의 연구 및 상품화를 구축하고 었다. 또한, 도금약품 분야 도 오랜 공업화 역사와 강력한 기초산엽을 기반으로 하여 고효융, 고성능화를 설현 실용화단계에 접어들었으며, 설비자동화와 함께 세계적 환경문제와 관련된 무공해, 저 공해화의 연구를 통해 세계시장을 지속적으로 선점하고 있는 실정이다. 국내의 경우, 근대 공업화의 늦은 출발과 수출을 통한 산업발전에 기인된 대기업 중 심의 산업구조, 그리고 수출목표 지향의 제품생산, 조립위주 등의 원인으로 산업기반 기술인 도금기술과 이와 관련된 기초, 핵심기술이 여전허 낙후되어 있으며, 해외의존 도에 있어서 지리척으로 가까운 일본의 영향이 크고, 기타 선진국으로부터 기술도입, 원자재수입에 의해 영위되어 오고 있는 실정이다 또한 영세성 소규모 업체로 구성되어 기술개발 자체도 수요의 한정 및 연관 산업과의 정보부족으로 실효성이 적으며­관련 전문 연구기관, 연구장벼 및 전문 기술인력이 선진국과 비교하여 절대 부족한 현실에 놓여었다. 연구시설, 연구인력의 절대부족, 기초연구 재원 및 국가적 전략지원 연구 및 기본 INFRA 구축이 부족한 국내 현실을 인식하여 한국기계연구원에서는 업계가 직면하고 있는 표면처리 관련기술 제반문제에 대한 실질적이고 다양한 내용 즉, 기술지도 및 지원, 기술훈현 및 연수, 품질-시험 인증을 위한 실험.측정장비의 구입 및 업계와의 공동활용, 국내.외 최신기술 정보자료의 수집과 신속제공, 국내.외 전문가 초청 활 용, 미래 지향적 목적활용 기초연구사업 수행, 미래기술 동향예측 및 홍보 등을 통해 서 국내 도금기술의 기술자립 및 고도화를 위한 여건마련을 위하여 노력하고 있다.

• Journal of Convergence for Information Technology
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• v.8 no.3
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• pp.107-114
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• 2018

Recently, as aviation industry has been activated, development of software related to composite materials has been demanded. Composite analysis requires specialized structural analysis and test evaluation. Therefore, it is necessary to use existing commercial software to analyze the composite structure, but existing commercial software only provides limited functions. Especially, since there is no specialized software for corner structure analysis of aerospace composites spa structure, much human resources and time are consumed in structural analysis. In order to solve this problem, we developed a GUI-based automation software based on user-friendly GUI that reflects the existing corner structure analysis procedure and provides multiple breakdown criteria. To verify the reliability of the structural analysis results of the developed software, it was confirmed that there is no problem in the structural analysis performance as a result of comparing with the existing analysis results.

• Journal of the Korean Institute of Gas
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• v.22 no.5
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• pp.89-99
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• 2018

In the case of medium and small-sized businesses handling hazardous chemicals, emergency disaster prevention by workers, rather than a disaster prevention system using a safety device equipped with an automation system in case of a leak accident, is highly likely to occur. In order to solve these limitations, in this study investigated an emergency disaster prevention system that can be easily removed and adhered to the expected point of leakage according to the occurrence frequency of the leak during the chemical handling process.

• Journal of the Korean Society for Precision Engineering
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• v.4 no.4
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• pp.1-5
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• 1987

어떤 산업이든 기계공업이 관여되지 않는 분야가 없듯이 공작기게가 관여되지 않는 기계공업은 생각할 수 없다. 이와같이 공작기계는 <기계를 만드는 기계> 라는 점에서 모든 산업분야의 근간을 형성하고 있으므로 공작기계의 품질과 성능은 곧 한나라의 기술수준을 가늠하는 척도로서 대표된다고 하여도 과언은 아 니다. 오늘날 선진국들은 수요자가 요구하는 다양한 초정밀공작기계까지도 만들고 있다. 크게는 우주개발에 서 항공기, 선박 및 자동차생산을 위시하여 건설장비, 전자 및 광학, 정밀화학, 각종 시험기기 등 공작기계의 손이 미치지 않은 곳이 없다. 이렇게 공작기계는 전산업에 걸쳐 크게 영향을 주고 있으며, 특히 최근의 산업 화 추세가 점차 자동화, 무인화, 초정밀첨단산업으로 비약함에 따라 공작기계의 역할은 더욱더 중요시되고 있 다. 우리나라 공작기계공업은 1960 년대의 이전 극히 영세한 중소기업중심의 보수공작기계부품 생산형태에서 1960 년대 후반부터 일부 범용기종의 생산이 시작되었으나 보다 본격화한 것은 1973 년 정부의 중화학공업육성 시책에 따라 대기업의 대거 참여로 공작기계제조업은 시설, 자산, 경영면에서 대형화 하였고, 동시에 선진국의 최신기술과 시설을 적기에 도입하므로써 품질향상, 신제품개발, 수출참여 등 공작기계공업 발전에 일대 전기를 마련하였다. 특히 '85 년에 들어서면서부터 3 저의 여파로 국내 자동차산업의 호황, 전자, 기계 및 관련수요 산업의 설비투자와 시설개체에 힘입어 공작기계생산도 활발하기 시작하여 그 어느때보다 생산기반혁신을 위한 구조적 대응책이 절실해지고 있다. 따라서 공작기계공업의 당면과제는 지속적인 기술개발과 품질향상으로 국산 화율을 제고시켜야 함은 물론, 이를 양산화하여 명실공히 선도산업으로서의 위치를 굳히고, 적어도 기계류의 수입국에서 기계류의 수출국으로 기치를 든 탈바꿈을 할때 비로소 불균형이 없는 흑자시대는 도래할 것이다.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.117-125
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• 2020

According to the government's smart factory promotion project for small and medium-sized enterprises, more than 10,000 intelligent factories are scheduled or already built in the country and the government-led goal is to nurture 100,000 skilled workers by 2022. Smart Factory introduces numerous types of education and training courses from the supplier's point of view, such as training institutions belonging to local governments, some universities, and public organizations, in the form of an efficient resource management system and ICT technology convergence in the automated manufacturing equipment. The lack of linkage with the NCS, the standard for training, seems to have room for rethinking and direction. Results of survey is provided for the family companies of K-University in the metropolitan area and Chungnam area, and analyzes job demands by identifying whether or not they want to introduce smart factories. Defining the practitioners who will serve as a window for the introduction of smart factory technology within the company, setting up a training goal in consideration of the career path, and including the level of training required competency units, optional competency units, and training time suitable for introducing and operating smart factories. Author would like to present an NCS-based qualification design plan.