• International journal of advanced smart convergence
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• 제12권1호
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• pp.140-148
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• 2023

With the OTT media market growing rapidly, the significance of trustworthy data verification and certification cannot be emphasized enough. This study delves into the crucial need for such measures in South Korea, exploring the steps involved, the technological and policy-related considerations, and the challenges that may arise once these measures are put into place. Drawing on in-depth interviews and the analytical hierarchy process (AHP), this study surveyed various stakeholder groups, both directly and indirectly related to OTT data authentication and certification. By assessing the severity of OTT data-related issues and identifying the requirements for reliability-improvement policies, participants shared their valuable insights and opinions on this pressing matter. The survey results clearly indicate a divided opinion among stakeholders and industry experts on the reliability of OTT data, with some expressing trust while others remain skeptical. However, there was a consensus that advertising-based AVOD is more reliable than SVOD. By analyzing the priorities of authentication and verification, this study paves the way for the establishment and operation of a Korean MRC (KMRC), centered on the OTT media industry. The KMRC will serve as a vital platform for ensuring the authenticity and accuracy of OTT data in South Korea, providing businesses and industry players with a reliable source of information for informed decision-making. This study highlights the pressing need for reliable data authentication and certification in the rapidly growing OTT media market, and provides a persuasive case for the establishment of a KMRC in South Korea to meet this critical need.

• 농촌계획
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• 제28권4호
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• pp.55-67
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• 2022

In this study, the village development promotion system was reorganized for Gimhae-si, and improvement plans and post-operation management plans were prepared through expert surveys. Through the Village Development Project, the landscape and environment of the village were improved, and the village and residents were positively changed. The Village Development Project laid the foundation for regional revitalization, giving the next generation hope for the sustainable development of the village. While maintaining the framework of the existing Rural Development Projects guidelines through case analysis of other regions, we operate educational programs for each stage by reflecting regional characteristics, and utilize and communicate with intermediate support organizations, systematically operate, and actively intervene by Eup·Myeon administration. In addition, as a follow-up management program, various follow-up management programs were being operated, such as support for capacity building such as consulting, as well as facility maintenance and support for village managers. As a result of the expert survey to review the adequacy of the improvement plan, the improvement plan derived from the overall average of 4.28 points and the standard deviation of 0 to 0.94 points for the process is judged to be appropriate. In particular, the item of 'self-reliance stage follow-up management' was very important as all experts responded with 5 points. By establishing the village development performance goals, we tried to check whether the qualitative/quantitative goals were achieved by year, and to secure quantified status data in response to changes such as resetting performance goals or adding new performance indicators. In this study, in order to improve the capacity to achieve regional development in response to the rural agreement, we prepared our own sustainable village development promotion system, governance establishment, and follow-up management plan. In addition, it is expected to be used as a reference material for the selection of new districts and the follow-up management of completed districts by establishing the village development goals.

• 산업경영시스템학회지
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• 제46권2호
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• pp.133-142
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• 2023

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.

• 의학교육논단
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• 제25권2호
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• pp.84-101
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• 2023

Longitudinal data can provide important evidence with the potential to stimulate innovation and affect policies in medical education and can serve as a driving force for further developments in medical education through evidence-based decisions. Tracking and observing cohorts of students and graduates using longitudinal data can be a way to link the past, present, and future of medical education. This study reviewed practical methods and technical, administrative, and ethical considerations for the establishment and operation of a longitudinal database and presented examples of longitudinal databases. Cohort study design methods and previous examples of research using longitudinal databases to explore major topics in medical education were also reviewed. The implications of this study are as follows: (1) a systematic design process is required to establish longitudinal data, and each university should engage in ongoing deliberation about this issue; (2) efforts are needed to alleviate "survey fatigue" among respondents and reduce the administrative burden of those conducting data collection and analysis; (3) it is necessary to regularly review issues of personal information protection, data security, and ethics regarding the survey respondents; and (4) a system should be established that integrates and manages a longitudinal database of medical education at the national level. The hope is that establishing longitudinal data and cohorts at individual medical schools will not be a temporary phenomenon, but rather that they will be well utilized at the national level to innovate and implement ongoing changes in medical education.

• 한국콘텐츠학회논문지
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• 제22권5호
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• pp.223-234
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• 2022

본 연구는 조직내 구성원들의 일에 대한 의미 인식과 이직의도 간의 관계를 실증함과 동시에 일-가정 촉진 노력의 조절효과를 분석하였다. 이를 위해 부산지역의 중소기업 근로자 143명을 대상으로 설문조사를 통해 자료를 확보하였으며 그 결과를 분석에 활용하였다. 연구 결과, 첫째, 조직내 구성원들이 자신의 일에 대한 의미와 가치를 긍정적으로 인식하는 경우 이직의도와는 부(-)의 관계를 확인할 수 있었다. 또한 조직내 일-가정 촉진의 노력이 이 과정에서 조절효과를 보이고 있는 것을 확인하였다. 이러한 결과를 토대로 다음과 같은 시사점을 도출하였다. 첫째, 중소기업의 경우 대기업과 비교하여 다소 미흡한 처우 및 복리후생제도를 운영하게 되므로 조직의 성장 가능성 및 일에 대한 기술적 우위와 의미 등을 더 많이 인식할 수 있게끔 각종 인사제도설계 및 운영에 관심을 두어야 할 것이다. 특히, 급격히 성장하는 중소기업의 경우 일-가정 촉진에 대한 제도적 지원이 미흡할 수 있는데 이를 좀 더 활성화 할 수 있는 제도 도입 및 운영의 중요성을 제시하였다.

• 대한토목학회논문집
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• 제28권5D호
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• pp.587-595
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• 2008

1960년대부터 최근까지 버스 이용자들의 편의를 증진시키며 버스운영 측면에서 불필요한 운행을 최소화하기 위한 버스운행계획 최적화에 대한 많은 연구가 진행되어 왔다. 2000년 이후 ITS의 일환으로 버스 운행계획 최적화를 통한 운행관리와 정보제공 측면에서 그 중요성이 대두됨에 따라 과학적인 기반 하에 합리적인 버스운행계획 수립을 위한 연구가 더욱 활발히 진행되고 있는 추세이다. 본 연구에서는 버스운행계획 수립을 위해 구간 및 정류소 단위의 운행이력, 버스이용수요 등 세부자료를 활용하여 DTR 및 DTRC 모형에 따라 버스운행계획을 수립하였고 기점 및 정류소 단위의 timetable을 작성하였다. 모형 검증을 위해 서울시 472번 간선노선을 대상으로 BMS, 교통카드 등의 수집 자료를 활용하여 운행계획을 수립하고, 모형에 사용된 파라미터와 가정들에 대한 신뢰성 확보를 위하여 민감도 분석을 수행하였다.

• 한국수소및신에너지학회논문집
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• 제34권6호
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• pp.673-681
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• 2023

Hydrocarbon-based polymer membranes to replace perfluorinated polymer membranes are being continuously researched. However, hydrocarbon-based membranes have a problem in that they are less durable than fluorine-based membranes. In this study, we sought to compare the annealing effect to improve the durability of sulfonated poly(ether ether ketone) (SPEEK). After membranes formation, thermogravimetric analysis and tensile strength were measured to compare changes in membranes properties due to annealing. After manufacturing the membrane and electrode assembly (MEA), the initial performance and chemical durability was compared with unit cell operation. During the 24-hour annealing process, the strength increased due to the increase in-S-O-S-crosslinking, and the sulfonic acid group decreased, leading to a decrease in I-V performance. By annealing, the hydrogen permeability was reduced to less than 1/10 of that of the nafion membrane, and as a result, open circuit voltage (OCV) and durability was improved. The SPEEK membranes annealed for 24 hours showed higher durability than the nafion 211 membranes of the same thickness.

• Tribology and Lubricants
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• 제39권5호
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• pp.197-202
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• 2023

Recently, research on experimental and analytical techniques utilizing microfluidic devices has been pursued. For example, lab-on-a-chip devices that integrate micro-devices onto a single chip for processing small sample quantities have gained significant attention. However, during sample preparation, unnecessary gases can be introduced into the internal channels, thus, impeding device flow and compromising specific function efficiency, including that of analysis and separation. Several methods have been proposed to mitigate this issue, however, many involve cumbersome procedures or suffer from complexities owing to intricate structures. Recently, some approaches have been introduced that utilize hydrophobic device structures to remove gases within channels. In such cases, the permeability of gases passing through the structure becomes a crucial performance factor. In this study, a method involving the deposition and sintering of diluted Ag-ink onto a silicon wafer surface is presented. This is followed by unstructured nano-pattern creation using a Metal Assisted Chemical Etching (MACE) process, which yields a nanostructured surface with unstructured pillar shapes. Subsequently, gas permeability in the spaces formed by these surface structures is investigated. This is achieved by experiments conducted to incorporate a pressure chamber and measure gas permeability. Trends are subsequently analyzed by comparing the results with existing theories. Finally, it can be confirmed that the significance of this study primarily lies in its capability to effectively evaluate gas permeability through unstructured pillar-like nanostructures, thus, providing quantitative values for the appropriate driving pressure and expected gas removal time in practical device operation.

• 사물인터넷융복합논문지
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• 제9권6호
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• pp.37-44
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• 2023

인터스트리4.0의 주요 기술인 인간-로봇 협업은 작업자의 안전을 보장하기 위한 추가적인 조치들이 필요하다. 협동로봇과 작업자간 충돌을 회피하는 기존 방식은 주로 로봇에 부착된 센서와 카메라를 기반으로 총돌을 탐지한다. 이러한 방식은 로봇, 사람 물체를 지속적으로 추적하고 충돌회피를 위한 복잡한 알고리즘이 필요하며, 작업 환경 변화에 빠르게 대응하지 못하는 단점이 있다. 본 논문은 인간과 로봇이 협업하는 과정에서 작업자가 위험을 느낄 때의 감정을 인식하여 협동로봇과의 충돌을 방지할 수 있는 웹 기반 플랫폼을 개발하였다. 이를 위해 웨어러블 뇌파장치를 이용하여 감정 관련 뇌파를 수집하고 저장하는 웹 기반 애플리케이션을 개발하였으며, 중립/긍정/부정 감정의 특징을 추출하고 분류하는 딥러닝 모델을 제안하였다. 또한 분류된 감정에 따라 모터동작을 제어하는 사물인터넷 인터페이스 프로그램을 개발하였다. 구현된 시스템의 성능분석을 위해 공개 데이터세트와 실제 수집된 데이터 세트를 사용하여 제안한 딥러닝 모델의 성능을 분석하였다. 공개 데이터 세트의 경우 정확도는 96.8%이며, 실제 수집 데이터세트의 경우 정확도는 70.7%이다.

• 대한토목학회논문집
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• 제43권6호
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• pp.763-774
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• 2023

도시 하류의 가용수량과 관련된 생활용수 회귀수량은 아직까지 정확한 회귀수량 파악이 어려운 상황이다. 본 연구에서는 생활용수 물순환시스템을 면(面)적 개념으로 물 유입, 물 전달, 물 유출 단계로 정의하였다. 대상지는 전라남도 함평군 일대로 선정했으며 물순환계통도 작성 및 완전·불완전 계측지점의 분류를 통해 단일 유입~단일 유출지점으로 설정하였다. 총 6년(2017년 1월 1일~2022년 12월 31일)간 일단위의 유입량·유출량 자료로 시계열예측모형(ARIMA 모형, 전이함수모형)을 구축하였고 학습기간과 검증기간으로 분리하여 유입량·유출량을 예측하였다. 그 결과, 두 모형 모두 안정적인 잔차와 통계적 유의성 확보로 단기 예측 실현 가능성을 보여 초기 단계의 물순환시스템을 구현하였다. 향후에는 불완전 계측지점, 미계측지점, 기상조건을 추가하고 최적의 모형을 선정하여 대상 유역의 실제 회귀량을 예측하고 효율적인 물 운영이 가능하길 기대해본다.