• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.641-641
• /
• 2015

수자원 관리의 새로운 패러다임으로 스마트워터그리드가 이슈화되고 있다. 스마트워터그리드는 현재 직면해 있는 물 문제를 ICT기술을 활용하여 효율적으로 관리 및 운영할 수 있는 기술이다. 가뭄과 홍수 등을 대응하기 위한 분산형 수자원, 그리고 수량과 수질등의 통합 관리를 지향하는 물관리 패러다임과 ICT와 물산업을 융복합화하여 양방향 실시간 운영을 통한 네트워크 구성, 그리고 대규모 수원개발과 장거리 수송방식으로부터 지역단위의 부존된 수자원인 다중수원을 효율적으로 활용하고, 이들 수원의 최적 블랜딩 기술 및 멀티워터루프를 이용한 수요자 중심의 물관리에 초점을 맞추고 있다. 이에 본 연구에서는 지역의 부존된 수자원을 효율적으로 관리하기 위한 운영지수를 산정함으로써 지역의 평상시 물관리 운영과 상수공급차단, 다중수원에 오염물질 유입, 가뭄발생 등 비상시 상황에 물관리가 원활히 이루어지도록 하였다. 스마트워터그리드에서 사용되는 물관리 운영지수는 비상시 지역간 플랫폼에 정상적으로 물공급이 어렵거나, 예상되어 유량 확보가 필요시 원활하게 유량 확보가 가능하도록 주변 지역간의 운영지수를 산정하여 최적의 조건을 도출하여 우선순위를 시나리오에 나타내어 사용자가 플랫폼에 물공급이 가능하도록 제시한 운영지수이다. 물관리 운영지수는 중회귀분석 기법을 이용하여 종속변수에 선형적인 영향을 미치는 유량, 수질, 이송거리, 전력비용, 경제적인 영향 등을 고려하여 종속변수의 값을 예측하고 통계적인 기법으로 유량, 수질, 이송거리, 전력비용, 경제적인 영향 등에 대한 장래추정치를 부여하여 회귀모델을 구축하여 물관리 운영지수를 산정하였다. 이를 활용하여 평상시에는 물수요 공급량을 정확히 관리하여 지역간의 수자원 불균형을 해소하고 비상시에는 상황을 대처하여 지역의 물부족 문제를 해소할 수 있을 것으로 판단된다.

• Journal of Industrial Convergence
• /
• v.21 no.1
• /
• pp.103-110
• /
• 2023

In this study, clustering analysis was performed to find out the influence of the maturity level of Industry 4.0 of SMEs in Korea, index factors of clustering, and major factors on the self-evaluation of companies. When 80 domestic SMEs were classified into 4 categories, it was found that there was a significant positive correlation between process, technology and organization. In addition, the majority of the 80 companies tested according to the maturity model appear to be immature or partially mature, and many improvements and re-evaluation of innovation strategies related to Industry 4.0 are needed. Finally, it was concluded that the Singapore Smart Industry Readiness Index is suitable for conducting self-assessment in domestic SMEs. These conclusions can serve as useful maturity and grouping guidelines for practitioners and researchers.

• Journal of the Korea Convergence Society
• /
• v.11 no.3
• /
• pp.9-18
• /
• 2020

As the 4^th industrial revolution has been an emerging issue, the government and industry has paid increasing interest to smart factory. The Korean government has made efforts to establish smart manufacturing capabilities of small-to-medium sized firms by providing supports for smart factory. However, the effectiveness of the supports and satisfaction of firms have hardly been analyzed. This study aims to analyze firms' satisfaction by attributes of policy suuports for smart factory and identify priorities for government supports. The results show that 8 out of 11 attributes were one-dimensional and 3 were attractive attributes. Among the 11 attributes, funding support was the top priority. The attributes such as dispatching external experts, consulting for sophistication of smart-factory, and consulting for maintenance and repair were also high priorities. These results imply that firms prefer supports for maintenance and sophistication to adoption or initial establishment of smart factory.

• Journal of Practical Engineering Education
• /
• v.14 no.1
• /
• pp.195-203
• /
• 2022

Recently, as the introduction of smart factories spreads, interest and research on the positive and negative effects of smart factory introduction are increasing. This study quantitatively analyzed the changes in the workplace innovation index following the introduction of smart factory for 750 companies in the 4 categories of the workplace innovation index. Overall, the workplace innovation index of companies that introduced smart factory was higher than those that did not, and there was a statistically significant difference, especially in the work organization. In addition, as a result of analyzing the effects of smart factory introduction and workplace innovation consulting together, in the case of labor-management relations and work organization, the introduction of a smart factory and consulting were found to match the improvement of the workplace innovation index.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2019.11a
• /
• pp.278-280
• /
• 2019

부산항 해운항만산업은 부산 전체 산업 매출의 8.7%를 차지하고 있음에도 불구하고 해운항만산업의 규모가 상대적으로 영세해 산업역량 강화를 위한 산업 고도화 방안 마련이 시급한 상황이다. 한국정보화진흥원에서 산업별 정보화 수준을 진단한 결과 해운항만산업이 속한 운수업의 IT 활용지수는 다른 산업에 비해 낮은 수준으로 진단된다.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.1
• /
• pp.34-47
• /
• 2018

As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

• Smart Media Journal
• /
• v.11 no.3
• /
• pp.62-73
• /
• 2022

Researches on the prediction of domestic apartment sales price have been continuously conducted, but it is not easy to accurately predict apartment prices because various characteristics are compounded. Prior to predicting apartment sales price, the analysis of major factors, influencing on sale prices, is of paramount importance to improve the accuracy of sales price. Therefore, this study aims to analyze what are the factors that affect the apartment sales price in Gwangju, which is currently showing a steady increase rate. With 6 years of Gwangju apartment transaction price and various social factor data, several maching learning techniques such as multiple regression analysis, random forest, and deep artificial neural network algorithms are applied to identify major factors in each model. The performances of each model are compared with RMSE (Root Mean Squared Error), MAE (Mean Absolute Error) and R² (coefficient of determination). The experiment shows that several factors such as 'contract year', 'applicable area', 'certificate of deposit', 'mortgage rate', 'leading index', 'producer price index', 'coincident composite index' are analyzed as main factors, affecting the sales price.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.161-163
• /
• 2021

This urban centralization is expected to develop rapidly, with 75% of the population living in the city by 2035. Large cities are becoming unsustainable due to side effects such as environmental pollution, severe traffic jams, excessive energy depletion, and destruction of the natural ecosystem. In addition, the happiness index of citizens of large cities is also falling because of high crime rates and safety accidents, the work-life imbalance caused by inequality and polarization, and overly competitive education. To solve this problem, Smart City, an IT-based future city model, was born. The Korean government is also actively attempting to improve urban competitiveness and promote sustainable development through efficient construction and operation of smart cities as a national focus project. To support the effort, we review the basic directions and strategies of Sejong City's Smart City service infrastructure based on the comprehensive national land plan, Smart City plan, and Smart City strategy plan.

• Advanced Industrial SCIence
• /
• v.1 no.2
• /
• pp.24-29
• /
• 2022

Recently, smart farm research that applies IoT technology to various farms is being actively conducted to improve agricultural cooling power and minimize cost reduction. In particular, methods for automatically and remotely controlling environmental information data around smart farms through IoT devices are being studied. This paper proposes a processing model that can maintain an optimal growth environment by monitoring environmental information data collected from smart farms in real time based on machine learning. Since the proposed model uses machine learning technology, environmental information is grouped into multiple blockchains to enable continuous data collection through rich big data securing measures. In addition, the proposed model selectively (or binding) the collected environmental information data according to priority using weights and correlation indices. Finally, the proposed model allows us to extend the cost of processing environmental information to n-layer to a minimum so that we can process environmental information in real time.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.1
• /
• pp.51-58
• /
• 2022

This paper proposes new measures to aid the uses of pubic transport buses by visually impaired people. Many visually impaired people have difficulty using public buses, but current guidance systems and braille blocks are not useful enough, according to a national survey(2017). In this paper, we develop a system with three functions that help to increase the bus accessibility and mobility of visually impaired people: (1)bus reservation using smart phone applications, (2)arrival notification, and (3)wireless bus stop button using Beacon. Experiments have confirmed that our system supports bus reservation, boarding and getting off the bus efficiently.