• Journal of the Korean Applied Science and Technology
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• v.35 no.3
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• pp.935-939
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• 2018

3D Printing technology is developing in various prototypes for medical treatment, food, fashion as well as machinery and equipment parts production. 3D printing technology is also able to fully be utilized to other industries in terms of developing its technology which has been reported in many field of areas. 3D printing technology is expected to be used in various applications related to $4^{th}$ industrial revolution such as finished products and parts even it is still carried out in the prototype model. In this study, we have investigated and developed conductive resin for 3d printing application based on reduced graphene oxide(rGO)/Polypyrrole(Ppy) composite and polycaprolactone(PCL) as a biodegradable polymer. The electrical properties and surface morphology of the conductive PCL resin based on therGO/Ppy composite were analyzed by 4point-probe and scanning electron microscope(SEM). The conductive PCL resin based on rGO/Ppy composite is expected to be applicable not only 3D printing, but also electronic materials in other industrial fields.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.164-170
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• 2023

With the recent advances in AI (artificial intelligence) and HPC (high-performance computing) technologies, deep learning is proliferated in various domains of the 4th industrial revolution. As the workload volume of deep learning increasingly grows, analyzing the memory reference characteristics becomes important. In this article, we analyze the memory reference traces of deep learning workloads in comparison with traditional workloads specially focusing on read and write operations. Based on our analysis, we observe some unique characteristics of deep learning memory references that are quite different from traditional workloads. First, when comparing instruction and data references, instruction reference accounts for a little portion in deep learning workloads. Second, when comparing read and write, write reference accounts for a majority of memory references, which is also different from traditional workloads. Third, although write references are dominant, it exhibits low reference skewness compared to traditional workloads. Specifically, the skew factor of write references is small compared to traditional workloads. We expect that the analysis performed in this article will be helpful in efficiently designing memory management systems for deep learning workloads.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.143-153
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• 2021

Recently, by applying the 4th industrial revolution technologies such as A.I., IoT, and big data to general residential infrastructure, various application services of residential-based are provided to residents through linkage and utilization between technologies. Accordingly, smart housing system is increasing as advanced living spaces that can improve the quality of life and convenience of residents. Such a smart housing is expected to be an item that can create new demands and markets in the construction industry since it provides a new paradigm that combines construction technology and IT by combining IT technology with existing construction industry. Based on this, it is expected that it will be possible to gradually develop large-scale markets such as smart buildings and smart cities. In this paper, therefore, we propose an artificial intelligence multiplex smart housing system as an intelligent platform that can autonomously manage and control the size of places and spaces, used for various purposes based on smart housing technology by using artificial intelligence systems.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.439-440
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• 2018

과거 사용자경험(User Experience, 이하 UX)에 대한 검토는 개발 후반에 이뤄졌으며, 사용 불편의 평가에도 '이제와 전부 바꾸기는 힘들다'며 넘어가 버리는 경우가 많았다. 현재 이러한 문제점이 발생할 경우 사용자들은 불편함을 호소하며 해당 소프트웨어를 사용하지 않을 것이다. 이에 따라 최근 기업 또는 개발자들은 수익과 시용자들의 만족을 높이기 위해 효율적인 UX디자인에 대한 관심을 높이고 있다. 본 논문에서는 4차 산업혁명시대에 UX 트렌드 변화 분석을 제시하고자 한다.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.4
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• pp.425-433
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• 2022

This paper studies the method of delivering munitions using both drones and UGVs that are developing along with the 4th Industrial Revolution. While drones are more mobile than UGVs, their loading capacity is small, and UGVs have relatively less mobility than drones, but their loading capacity is better. Therefore, by simultaneously operating these two delivery means, each other's shortcomings may be compensated. In addition, on actual battlefields, time constraints are an important factor in delivering munitions. Therefore, assuming an actual battlefield environment with a time limit, we establish delivery routes that minimize delivery time by operating both drones and UGVs with different capacities and speeds. If the delivery is not completed within the time limit, penalties are imposed. We devised the hybrid genetic algorithm to find solutions to the proposed model, and as results of the experiment, we showed the algorithm we presented solved the actual size problems in a short time.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.55-61
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• 2019

In order to realize foreign language education, various existing educational media have been provided, but there are disadvantages in that the cost of the parish and the media program is high and the real-time responsiveness is poor. In this paper, we propose an artificial intelligence English conversation system based on VR and speech recognition. We used Google CardBoard VR and Google Speech API to build the system and developed artificial intelligence algorithms for providing virtual reality environment and talking. In the proposed speech recognition server system, the sentences spoken by the user can be divided into word units and compared with the data words stored in the database to provide the highest probability. Users can communicate with and respond to people in virtual reality. The function provided by the conversation is independent of the contextual conversations and themes, and the conversations with the AI assistant are implemented in real time so that the user system can be checked in real time. It is expected to contribute to the expansion of virtual education contents service related to the Fourth Industrial Revolution through the system combining the virtual reality and the voice recognition function proposed in this paper.

• International Journal of Advanced Culture Technology
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• v.9 no.4
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• pp.315-319
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• 2021

Recent impact of 4th industrial revolution is increasing usage of IoT technology along with smartphones and tablet PC. However blue light emitted from electronic devices such as smartphones and tablet PC causes detrimental change to human bodies. As the controversy over the harmfulness of blue light became known through the media and various communities, related markets were formed, and various blocking films, software, and vision protection monitors were released. In this paper focuses on utilizing IoT technology to protect human organizations from blue light. It presents anti-blue light system which prevents excessive exposure to blue light through Arduino module such as ultrasound, piezo buzzer and blue light measurement module.

• Annual Conference of KIPS
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• 2021.11a
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• pp.251-254
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• 2021

국가 4차 산업혁명의 성장 동력으로 데이터 경제가 주목받고 있으며, 현(現)산업계는 초연결, 초지능, 초융합 사회로 진보하고 있다. 이와 같은 환경에서는 산업군 간의 경계가 사라지고 전방위적인 상호 유기적인 복합 생태계를 구성하게 된다. 따라서 사이버 보안사고 발생 시 단순 데이터 탈취 정도에 국한되지 않고 안보, 생명, 국가 경제 등에 돌이킬 수 없는 손실을 끼칠 것으로 예상된다. 그러나 현재 사이버 보안의 각종 제도 및 법령 등은 중복·혼재되어 있거나 특정 산업군에 적용하기에는 일부 미흡한 요소도 존재한다. 본 논문에서는 이와 같은 문제점을 개선하고 전방위적인 보안거버넌스를 달성하기 위한 통합 사이버 보안 프레임워크 구축 방안을 제언한다.

• Journal of the Korea Convergence Society
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• v.11 no.6
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• pp.119-125
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• 2020

In the 21st century, the 4th Industrial Revolution is in need of talented people who are equipped with experience and knowledge of various industries. Each university operates a capstone design to nurture the talent needed for practical work and attaches importance to the industry. However, since students in a single major plan as team members, there are limitations in current market situation and environmental awareness, marketing and design. In order to improve the shortcomings of the capstone design, which is carried out at the center level, engineering and design need to collaborate with each other without focusing only on the technical part. In this study, the researcher introduces the engineering and design linkage cases of the Capstone Design Program operated by the Department of Media Software and seeks to improve them. First, the educational purpose and operation plan of capstone design in the engineering field was reviewed and the improvement plan was suggested based on the result of the program case operated by the researcher.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1071-1080
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• 2017

Recently, the terms of the 4th Industrial Revolution and the Smart Factory are often heard through news and media. But most of the companies that are parties are not interested. Because there is no specific guidance on how to build Smart Factory and information about Smart Factory. The built of the Smart Factory should be carried out in accordance with the size of the company considering the purpose of the introduction. In the existing study, they analyzed successful cases of building Smart Factory in Korea 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. In this study, selecting medium and small-size firms, and bottleneck section and processes requiring improvement are identified through 3D virtual process design, and then install sensors. Finally, after analyzing the data collected through the sensor, we will improve the process and build Smart Factory with improved productivity.