• Journal of Digital Convergence
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• v.16 no.12
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• pp.327-334
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• 2018

This study proposes a CMS platform for AR-based remote collaboration in a smart factory. The Smart Factory site utilizes various forms of AR technology to save time and money. As the level of smart factory increases, system-oriented tasks such as machinery and equipment are performed in people-oriented work. Therefore, there is a need for a system that allows the operator to immediately repair the machine or equipment in case of a failure, or to get help if necessary. Remote collaborative CMS platform is designed to work in conjunction with DATABASE of ERP, MES / POP, and PLM system built through text, 2D 3D contents and smart factory business, This study is meaningful in that it saves time and cost by sharing information such as management, repair method, manual, etc., and repairing it quickly.

• International journal of advanced smart convergence
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• v.8 no.3
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• pp.177-183
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• 2019

We intend to improve the sustainability of rural villages by investigating the element technologies and platforms necessary for building smart villages. There are so many investment smart city platforms and solutions in many cities. but there are relatively few investments in rural or small cities. This situation can not only increase the urban problem due to the increase of population to the city, but also deepen the digital gap of citizens. So far, studies on smart village have been investigated in fragments. We will examine the cases applied to smart village as a whole and study the open smart village platform that analyzes the overall data storage and management of the village after the smart village was finally established. First, we will look at the overseas trends of smart village and second, we will study the smart village platform that efficiently manages smart village through the technology necessary for smart village.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.3
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• pp.25-38
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• 2019

This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

• Journal of Ocean Engineering and Technology
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• v.35 no.4
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• pp.266-272
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• 2021

Mooring systems are among the most important elements employed to control the motion of floating offshore structures on the sea. Considering the use of polymer material, a new method is proposed to address the creep characteristics rather than the method of using a tension load cell for measuring the tension of the mooring line. This study uses a synthetic mooring rope made from a polymer material, which usually consists of three parts: center, eye, and splice, and which makes a joint for two successive ropes. We integrate the optical sensor into the synthetic mooring ropes to measure the rope tension. The different structure of the mooring line in the longitudinal direction can be used to measure the loads with the entire mooring configuration in series, which can be defined as SMART (Smart Mooring and Riser Truncation) mooring. To determine the characteristics of the basic SMART mooring, a SMART mooring with a diameter of 3 mm made of three different polymer materials is observed to change the wavelength that responds as the length changes. By performing the longitudinal tension experiment using three different SMART moorings, it was confirmed that there were linear wavelength changes in the response characteristics of the 3-mm-diameter SMART moorings. A 54-mm-diameter SMART mooring is produced to measure the response of longitudinal tension on the center, eye, and splice of the mooring, and a longitudinal tension of 100 t in step-by-step applied for the Maintained Test and Fatigue Cycle Test is conducted. By performing a longitudinal tension experiment, wavelength changes were detected in the center, eye, and splice position of the SMART moorings. The results obtained from each part of the installed sensors indicated a different strain measurement depending on the position of the SMART moorings. The variation of the strain measurement with the position was more than twice the result of the difference measurement, while the applied external load increased step-by-step. It appears that there is a correlation with an externally generated longitudinal tensional force depending on the cross-sectional area of each part of the SMART mooring.

• Smart Media Journal
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• v.9 no.3
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• pp.59-70
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• 2020

This paper presents a fully automatic tool to recognize the liver region from CT images based on a deep learning model, namely Multiple Filter U-net, MFUnet. The advantages of both U-net and Multiple Filters were utilized to construct an autoencoder model, called MFUnet for segmenting the liver region from computed tomograph. The MFUnet architecture includes the autoencoding model which is used for regenerating the liver region, the backbone model for extracting features which is trained on ImageNet, and the predicting model used for liver segmentation. The LiTS dataset and Chaos dataset were used for the evaluation of our research. This result shows that the integration of Multiple Filter to U-net improves the performance of liver segmentation and it opens up many research directions in medical imaging processing field.

• Smart Media Journal
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• v.11 no.2
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• pp.39-52
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• 2022

In the context of the evolution of automation and intelligence, deep learning and machine learning algorithms have been widely applied in aquaculture in recent years, providing new opportunities for the digital realization of aquaculture. Especially, water quality management deserves attention thanks to its importance to food organisms. In this study, we proposed an end-to-end deep learning-based TabNet model for water quality prediction. From major indexes of water quality assessment, we applied novel deep learning techniques and machine learning algorithms in innovative fish aquaculture to predict the number of water cells counting. Furthermore, the application of deep learning in aquaculture is outlined, and the obtained results are analyzed. The experiment on in-house data showed an optimistic impact on the application of artificial intelligence in aquaculture, helping to reduce costs and time and increase efficiency in the farming process.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.245-248
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• 2023

본 논문은 스마트 옷장의 시장성과 기능에 대해 연구하고, 사용자에게 편의성과 개인화된 서비스(실시간 정보 제공, 온습도 제어, UV 살균 기능) 등 다양한 기능을 통해 사용자의 요구를 충족시키며, 스마트 기기와의 연동, 맞춤형 스타일 추천, 얼굴 인식 기술 등의 추가 기능을 통해 지속적인 개선과 혁신을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.145-146
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• 2024

본 논문에서는 최근 몇 년 동안 스마트시티 인프라 투자가 크게 성장하였으며 글로벌 스마트 쓰레기통 시장은 성장 가능성이 높을 것으로 예상된다. 본 논문에서는 이에 발맞추어 CNN과 MQTT를 활용한 스마트 쓰레기통을 제작하였다. 쓰레기의 종류를 구별하고 해당되는 쓰레기통의 뚜껑을 골라 여는 것은 현대인의 생활에서 비효율을 야기한다. 이러한 문제를 해결하고자 CNN을 통한 효율적인 분류와 MQTT를 통한 통신, 센서들을 활용한 더 나은 쓰레기 수거 방식을 제공한다. 스마트 쓰레기통으로 일상을 더욱 편하고 효율적이게 만드는 데 기여하고자 한다.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.33-41
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• 2015

The purpose of this study is to examine problems and status quo of the smart media addiction prevention system and to develop convergence policies to improve those systems. Based on the literature review, notable results are as following; Since current facilities including Internet Addiction Prevention Center, Korea Youth Counselling and Welfare Institute, and I Will Center, tend to focus on restricting use of smart media, efforts from various ministries have not worked properly. Therefore, there needs to be more specified and customized services based on regions and ages. Following the precedent set by advanced countries, this study suggest alternative policies to help solving the problem including recommending responsible use of social media through education rather than regulations only, encouraging family participation and intervention, expanding harmful environment block system, and establishing a partnership between local government and private organizations under central government's control. Since smart media addiction is emerging concern, further researches will be needed for developing the Korean standard for prevention policy.

• Journal of the Korea Convergence Society
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• v.7 no.1
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• pp.189-196
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• 2016

The ultimate goal of this study is to investigate the cases with respect to smart factory that has been introduced by German government. To do this, the study suggest implications for manufacturing version 3.0 that is one of manufacturing revolution agendas in Korea. The main point of smart factory is the convergence between manufacturing and information and communications technologies such as CPS(Cyber-Physical Systems), MES(Manufacturing Execution Systems), 3D Printer, AI(Artificial Intelligence), and so forth. It is hard to accomplish a complete manufacturing automation. In fact, German government had experienced the failure in pursuing the smart factory agenda. But now the agenda is gradually realized by a variety of success stories from German. Thus, this study is to investigate the well-known success stories that came from German.