• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.960-966
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• 2022

Mobility is an essential human need. Human survival and societal interaction depend on the ability to move people and goods. Efficient mobility systems are essential facilitators of economic development. Cities could not exist and global trade could not occur without systems to transport people and goods cheaply and efficiently. Rail has been considered as one of the important components of the transportation infrastructure required to service and improve the performance and productivity of an economy. In Nigeria, the rail infrastructure built by the colonial master several decades ago has been left in a state of total deterioration. This long neglect was occasioned by the failure of the government to pay adequate attention to infrastructure development. There is a vital and urgent need for rail infrastructure development in Nigeria. This study presents a systematic review of the evolution of rail, the current nature of railway infrastructure delivery in Nigeria, and offers possible suggestions on how to achieve an effective and sustainable rail infrastructure delivery in Nigeria. A thorough literature search of academic databases was conducted on current research trends on the subject of railway infrastructure by systematically reviewing selected published articles from reputable research domains. The analysis of the selected articles revealed the following among others (1) the existing railway infrastructure is in a state of mess and not sustainable, and (2), Government's investment/commitment in rail infrastructure seems inadequate compared to what is obtainable in other developed countries. Rail infrastructure development cannot be left to the Federal government of Nigeria to solve on its own; collaboration and participation are required. Government as a matter of priority should devote considerable attention to the development of rail infrastructure to harness the economic potential and transformation that sustainable rail infrastructural projects will provide.

• 사회복지연구
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• 제42권2호
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• pp.71-96
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• 2011

본 연구는 복지거버넌스 유형화 논의를 이론적 배경으로 하여 영국 근로연계복지정책 전달체계를 분석하였다. 본 연구는 영국 뉴딜정책 파트너십 전략을 연구대상으로 하였으며, 중앙정부차원의 파트너십과 공공부문-민간부문 파트너십으로 나누어 분석하고, 연구결과를 다음과 같이 제시하였다. 첫째, 중앙정부차원의 전달체계 개혁 수단은 부처통합이고, 서비스 전달전략의 구체적 변화는 통합고용사무소 설치로 나타났다. 둘째, 공공부문-민간부문 파트너십에서 전달체계 개혁 수단은 경쟁을 통한 계약, 즉, 시장기제의 도입이다. 특히, 지역차원 파트너십에 있어서 서비스 전달체계 개혁 수단은 노동시장 수요 측면에서의 패러다임도입이다. 이는 지역고용 및 훈련의 통합서비스 제공을 목적으로 하며, 중앙정부 차원의 포괄적 지원체계 마련을 핵심 내용으로 하고 있다. 본 연구는 이를 바탕으로 각 차원의 복지거버넌스 유형을 파악하였다. 그리고 분석 결과를 통하여 우리나라 근로연계복지의 통합적 서비스 제공에 관한 시사점을 제시하였다.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.157-166
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• 2020

Automated rebar fabrication, which requires effective information exchange between model designers and fabricators, has brought the integration and interoperability of data from different sources to the notice of both academics and industry practitioners. Industry Foundation Classes (IFC) was one of the most commonly used data formats to represent the semantic information of prefabricated components in buildings, whereas the data format utilized by rebar fabrication machine is BundesVereinigung der Bausoftware (BVBS), which is a numerical data structure exchanging reinforcement information through ASCII encoded files. Seamless transformation between IFC and BVBS empowers the automated rebar fabrication and improve the construction productivity. In order to improve data interoperability between IFC and BVBS, this study presents an IFC extension based on the attributes required by automated rebar fabrication machines with the help of Information Delivery Manual (IDM) and Model View Definition (MVD). IDM is applied to describe and display the information needed for the design, construction and operation of projects, whereas MVD is a subset of IFC schema used to describe the automated rebar fabrication workflow. Firstly, with a rich pool of vocabularies practitioners, OmniClass is used in information exchange between IFC and BVBS, providing a hierarchy classification structure for reinforcing elements. Then, using International Framework for Dictionaries (IFD), the usage of each attribute is defined in a more consistent manner to assist the data mapping process. Besides, in order to address missing information within automated fabrication process, a schematic data mapping diagram has been made to deliver IFC information from BIM models to BVBS format for better data interoperability among different software agents. A case study based on the data mapping will be presented to demonstrate the proposed IFC extension and how it could assist/facilitate the information management.

• 산업경영시스템학회지
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• 제46권3호
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• pp.186-197
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• 2023

In this study, we focus on the improvement of data quality transmitted from a weather buoy that guides a route of ships. The buoy has an Internet-of-Thing (IoT) including sensors to collect meteorological data and the buoy's status, and it also has a wireless communication device to send them to the central database in a ground control center and ships nearby. The time interval of data collected by the sensor is irregular, and fault data is often detected. Therefore, this study provides a framework to improve data quality using machine learning models. The normal data pattern is trained by machine learning models, and the trained models detect the fault data from the collected data set of the sensor and adjust them. For determining fault data, interquartile range (IQR) removes the value outside the outlier, and an NGBoost algorithm removes the data above the upper bound and below the lower bound. The removed data is interpolated using NGBoost or long-short term memory (LSTM) algorithm. The performance of the suggested process is evaluated by actual weather buoy data from Korea to improve the quality of 'AIR_TEMPERATURE' data by using other data from the same buoy. The performance of our proposed framework has been validated through computational experiments based on real-world data, confirming its suitability for practical applications in real-world scenarios.

• 한국학교보건학회지
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• 제36권3호
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• pp.103-112
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• 2023

Purpose: The COVID-19 pandemic, which emerged in late 2019, had a profound impact on global public health and disrupted the daily lives of people worldwide. Particularly, university students faced a challenging situation as their university life underwent a drastic transformation due to long-term remote learning and isolation measures. This study aimed to investigate the relationship between changes in daily life during the 2020 COVID-19 pandemic and depressive symptoms among university students aged between 19 and 29 in Korea. Methods: We analyzed data from the nationally representative 2020 Community Health Survey (CHS). Among the 229,269 participants, 9,279 university students aged 19-29, either enrolled or on leave, were selected. After excluding 401 cases with missing values, the final sample comprised 8,878 individuals. Using multivariate logistic regression with a complex sample design, we explored the association between daily life changes during the COVID-19 pandemic and depressive symptoms. Results: Changes in daily life during the COVID-19 pandemic was associated with depressive symptoms in Korean university students aged 19 to 29, even after adjusting for sociodemographic characteristics, health-related factors, and COVID-19-related aspects (OR=1.28, 95% CI=1.09~1.50). Conclusion: Our study suggests that when examining the impact of COVID-19 on health issues, it is crucial to consider the changes in daily life caused by the pandemic. These findings can provide insights into the psychological well-being of university students during times of crisis.

• 문화기술의 융합
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• 제9권5호
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• pp.583-590
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• 2023

과학기술이 비약적으로 발전하는 오늘날 박물관의 전통적인 전시 형식은 이미 사회의 수요를 만족시키기 어렵다. 이 연구에서는 가상현실, 증강현실, 혼합현실 등 확장현실 기술의 강점과 핵심 기술을 분석하여 박물관 XR 전시인터랙션 방안을 분석하였다. 먼저 이론 조사를 통해 XR 기술의 개념, 관람 체험의 개념과 영향 요소, 그리고 XR 기술의 응용을 살펴보았다. 이를 바탕으로 한국과 중국의 공룡박물관을 선정하여 관람객들의 전시 현장 실제 체험과 XR 기술 활용을 분석하였다. 분석 결과 공룡박물관에서 XR 기술을 사용하면 가상세계와 현실세계의 효과적인 융합을 실현하고 관람 공간을 확대할 수 있다. 이는 관람객에게 더욱 심층적인 상호작용 체험을 제공하고 전시 방식을 풍부하게 만들어 박물관 체험을 더욱 흡인력 있게 할 수 있다. 이 연구를 통하여 XR 기술이 박물관의 디지털 전환을 실현하고 지속 가능한 발전 가능성을 높일 수 있음을 제시하였다.

• 한국전산구조공학회논문집
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• 제36권6호
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• pp.415-421
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• 2023

본 논문에서는 시멘트에 탄소나노튜브를 혼입하여 전기 전도성을 향상시킨 복합재료의 압저항 특성을 딥러닝 기반 트랜스포머 알고리즘을 적용하여 분석하였다. 훈련 데이터 확보를 위한 실험수행을 병행하였으며, 기존 연구문헌을 참조하여 배합설정, 시편제작, 화학조성 분석, 압저항 성능측정 실험을 수행하였다. 특히 본 연구에서는 탄소나노튜브 혼입 시편뿐 아니라 플라이애시를 바인더 대비 50% 대체한 시편에 대한 제작 및 성능평가를 함께 수행하여, 전도성 시멘트 복합재료의 압저항 특성 향상 가능성을 탐구하였다. 실험결과, 플라이애시 대체 바인더의 경우 보다 안정적인 압저항 특성결과가 관찰되었으며, 측정된 데이터의 80%를 이용하여 트랜스포머 모델을 훈련시키고 나머지 20%를 통해 검증하였다. 해석 결과는 실험적 측정과 대체로 부합하였으며, 평균 절대 오차 및 평균 제곱근 오차는 각각 0.069~0.074와 0.124~0.132을 나타내었다.

• 한국컴퓨터정보학회논문지
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• 제28권11호
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• pp.209-226
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• 2023

국경 간 전자상거래는 중국의 대외무역을 안정시키고, 중국 대외무역의 전환과 업그레이드를 추동하며, 글로벌 경제 발전과 안정에 기여하는 결정적인 힘으로 부상했다. 이에 따라 국경 간 전자상거래의 고품질 발전을 추동하는 것은 중국 업계 내에서 공동의 난제로 되었습니다. 그러나 국경 간 전자상거래가 빠르게 성장하면서 품질 혼재, 치열한 경쟁, 가격 경쟁 등 새로운 현상과 도전에 직면해 있다. 브랜드는 주체를 식별하는 구별표지 역할을 하며 브랜드 구축은 국경 간 전자상거래에서 고품질 발전을 이룩하는 신중한 선택이다. 이 글은 정성적 접근법과 정량적 접근법이 결합된 브랜드 이론을 활용하며, 국경 간 전자상거래 기업 운영 내의 주요 요소에 구체적으로 초점을 맞춘다. 중국 국경 간 전자상거래 기업의 내부 운영 내에서 브랜드의 형성과 발전에 영향을 미치는 핵심 요소들에 대한 분석을 통해 그들의 내부 형성 메커니즘을 조사하고 브랜드 형성에 영향을 미치는 이들 중요요소들의 중요성을 평가한다. 연구과정은 해외 소비자의 데이터를 바탕으로 실증분석을 실시하여 궁극적으로 국경 간 전자상거래 기업의 브랜드 개발을 위한 일정한 지침을 제공하고 있다.

• 대한의용생체공학회:의공학회지
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• 제44권5호
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• pp.303-314
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• 2023

This study aimed to assess the practical feasibility of advanced deformable image registration (DIR) algorithms in radiotherapy by employing two distinct datasets. The first dataset included 14 4D lung CT scans and 31 head and neck CT scans. In the 4D lung CT dataset, we employed the DIR algorithm to register organs at risk and tumors based on respiratory phases. The second dataset comprised pre-, mid-, and post-treatment CT images of the head and neck region, along with organ at risk and tumor delineations. These images underwent registration using the DIR algorithm, and Dice similarity coefficients (DSCs) were compared. In the 4D lung CT dataset, registration accuracy was evaluated for the spinal cord, lung, lung nodules, esophagus, and tumors. The average DSCs for the non-learning-based SyN and NiftyReg algorithms were 0.92±0.07 and 0.88±0.09, respectively. Deep learning methods, namely Voxelmorph, Cyclemorph, and Transmorph, achieved average DSCs of 0.90±0.07, 0.91±0.04, and 0.89±0.05, respectively. For the head and neck CT dataset, the average DSCs for SyN and NiftyReg were 0.82±0.04 and 0.79±0.05, respectively, while Voxelmorph, Cyclemorph, and Transmorph showed average DSCs of 0.80±0.08, 0.78±0.11, and 0.78±0.09, respectively. Additionally, the deep learning DIR algorithms demonstrated faster transformation times compared to other models, including commercial and conventional mathematical algorithms (Voxelmorph: 0.36 sec/images, Cyclemorph: 0.3 sec/images, Transmorph: 5.1 sec/images, SyN: 140 sec/images, NiftyReg: 40.2 sec/images). In conclusion, this study highlights the varying clinical applicability of deep learning-based DIR methods in different anatomical regions. While challenges were encountered in head and neck CT registrations, 4D lung CT registrations exhibited favorable results, indicating the potential for clinical implementation. Further research and development in DIR algorithms tailored to specific anatomical regions are warranted to improve the overall clinical utility of these methods.

• 무역학회지
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• 제46권4호
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• pp.189-204
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• 2021

The fourth industrial revolution is affecting the industry as a whole, and the current logistics industry is coexisting with crises and opportunities. As part of overcoming this situation, the online platformization of the logistics market has recently been rapidly taking place, and the growth of e-commerce around developed countries has emerged as a demand for flexible freight services that can send and receive cargo anywhere and anytime at appropriate cost. However, the logistics industry has not been able to change rapidly in line with the demands of the market as it is immersed in traditional transportation transactions. Thus, the digital transformation of the freight market has become urgent to address problems such as uncertainty over traditionally closed and conservative freight market transaction processes and the lack of reliability caused by information asymmetry. Therefore, innovative domestic and foreign companies are attempting to establish a new way of transporting cargo, especially a marketplace way of connecting suppliers and consumers. Current status analysis and case studies were conducted through existing literature surveys, and prior research on freight market place selection factors was previewed, and the selection factors were stratified into five upper and 19 lower factors. Through this study, it is expected that improvements for sustainable growth of freight marketplace companies will be derived and that it will be a basic study of establishing management strategies through marketplace operation and quality control. In addition, it is deemed that the priority of customer requirements can be actively accepted, providing an opportunity to actively respond and strengthen corporate competitiveness.