• 한국철도학회:학술대회논문집
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• 한국철도학회 2002년도 춘계학술대회 논문집
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• pp.572-576
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• 2002

Volatile Organic Compounds(VOCs) contribute to the formation of ozone and PAN which are injurious to health through complex photochemical reactions. Growing consumption of fossil fuels results in significant emission of VOCs and other air pollutants into the atmosphere. In this study, Ambient an grab samples of VOCs were collected at the platform and the concourse of six stations in the subway from February 21th to 28th. Among the total contents, Toluene (118.74 ppm) showed the highest concentration in the Indukwon station platform while other contents were measured low concentrations. Also, the platform concentrations were higher than the concourse concentrations through the whole contents.

• Smart Structures and Systems
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• 제7권5호
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• pp.393-416
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• 2011

Hybrid acceleration-impedance sensor nodes on Imote2-platform are designed for damage monitoring in steel girder connections. Thus, the feasibility of the sensor nodes is examined about its performance for vibration-based global monitoring and impedance-based local monitoring in the structural systems. To achieve the objective, the following approaches are implemented. First, a damage monitoring scheme is described in parallel with global vibration-based methods and local impedance-based methods. Second, multi-scale sensor nodes that enable combined acceleration-impedance monitoring are described on the design of hardware components and embedded software to operate. Third, the performances of the multi-scale sensor nodes are experimentally evaluated from damage monitoring in a lab-scaled steel girder with bolted connection joints.

• 한국항행학회논문지
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• 제28권1호
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• pp.159-162
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• 2024

This paper proposes a novel safety autonomous platform (SAP) architecture that can automatically and precisely manage on-site safety through ensemble artificial intelligence models generated from video information, worker's biometric information, and the safety rule to estimate the risk index. We practically designed the proposed SAP architecture by the Hadoop ecosystem with Kafka/NiFi, Spark/Hive, Hue, ELK (Elasticsearch, Logstash, Kibana), Ansible, etc., and confirmed that it worked well with safety mobility gateways for providing various safety applications.

• Annals of Laboratory Medicine
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• 제38권6호
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• pp.569-577
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• 2018

Background: The increasing prevalence of drug-resistant tuberculosis (TB) infection represents a global public health emergency. We evaluated the usefulness of a newly developed multiplexed, bead-based bioassay (Quantamatrix Multiplexed Assay Platform [QMAP], QuantaMatrix, Seoul, Korea) to rapidly identify the Mycobacterium tuberculosis complex (MTBC) and detect rifampicin (RIF) and isoniazid (INH) resistance-associated mutations. Methods: A total of 200 clinical isolates from respiratory samples were used. Phenotypic anti-TB drug susceptibility testing (DST) results were compared with those of the QMAP system, reverse blot hybridization (REBA) MTB-MDR assay, and gene sequencing analysis. Results: Compared with the phenotypic DST results, the sensitivity and specificity of the QMAP system were 96.4% (106/110; 95% confidence interval [CI] 0.9072-0.9888) and 80.0% (72/90; 95% CI 0.7052-0.8705), respectively, for RIF resistance and 75.0% (108/144; 95% CI 0.6731-0.8139) and 96.4% (54/56; 95% CI 0.8718-0.9972), respectively, for INH resistance. The agreement rates between the QMAP system and REBA MTB-MDR assay for RIF and INH resistance detection were 97.6% (121/124; 95% CI 0.9282-0.9949) and 99.1% (109/110; 95% CI 0.9453-1.0000), respectively. Comparison between the QMAP system and gene sequencing analysis showed an overall agreement of 100% for RIF resistance (110/110; 95% CI 0.9711-1.0000) and INH resistance (124/124; 95% CI 0.9743-1.0000). Conclusions: The QMAP system may serve as a useful screening method for identifying and accurately discriminating MTBC from non-tuberculous mycobacteria, as well as determining RIF- and INH-resistant MTB strains.

• Journal of Platform Technology
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• 제11권1호
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• pp.60-71
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• 2023

전세계적으로 반려인이 꾸준히 증가하고 있고, 반려동물에 대한 사회적 인식이 '가족'의 일원으로 변하면서 반려동물 산업도 다양한 방식으로 발전 및 성장하고 있다. 반려동물은 건강에 문제가 있어도 표현할 수 없어 질병이 악화하는 경우가 많아 IoT 기술을 활용해 건강 변화를 조기에 확인할 수 있는 펫테크 헬스케어시장도 주목받고 있다. 본 연구에서는 반려동물 헬스케어 시장에 대한 조사 및 선행연구를 분석하여 확대되는 반려동물 헬스케어 시장에 서비스디자인이 이러한 문제 인식을 바탕으로 반려동물 헬스케어 시장에서 중요한 동물 검체 운반 서비스 개발에 관여하여 콜드체인 서비스 시장을 활성화할 수 있고, 향후 확장된 반려동물 헬스케어 시장에서 반려인, 반려동물, 동물병원 등의 다양한 이해 관계자가 모두 만족할 수 있는 솔루션 개발에 방향을 제시하고자 한다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.375-381
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• 2022

Safety accidents are of concern during construction projects, even given the recent innovations in digital technologies. These projects remain focused on overcoming specific and limited applications on construction sites. For this reason, the development of an inclusive safety management system has become crucial. This study aims to build a Big Data platform to inform decisions on how to proactively eliminate worker hazards on construction sites. The platform consists of about 100,000 real records and a real-time monitored database featuring various safety indices, such as workers' altitudes, heart rates, and fatigability during construction, which are determined through various wearable devices. The data types are customized and integrated by a research team in accordance with the characteristics of a specific project using hypertext transfer protocol (HTTP). The results can be helpful as efficient tools to ensure successful safety management in complex construction situations. This study is expected to provide three significant contributions to the field, including real-time fatigability analysis and tracking of workers on-site; providing early GPS-based warnings to workers who might be accessing dangerous spaces or places; and monitoring the workers' health indices, based on details from 100,000 cases.

• 한국응용과학기술학회지
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• 제41권2호
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• pp.305-317
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• 2024

본 연구는 온라인 플랫폼을 활용한 건강사정 학습 프로그램이 간호 대학생의 문제해결과정, 비판적 사고 성향, 수업참여도 및 수업몰입도에 미치는 효과를 알아보기 위한 단일집단 사전사후설계(one-group pretest-posttest design)를 적용한 원시실험연구(pre-experimental research)이다. 연구 대상자는 C북도 G군 소재 J대학교 건강사정 및 실습 교과목을 수강하는 간호학과 2학년 학생 52명을 대상으로 온라인 플랫폼을 활용한 건강사정 학습 프로그램 참여 전·후 자료를 수집하였다. 분석한 결과, 문제해결과정(t=-2.569, p=.013), 비판적 사고 성향(t=-5.363, p<.001), 수업참여도(t=-4.429, p<.001), 수업몰입도(t=-3.747, p<.001)가 프로그램 참여 전·후 통계적으로 유의하게 향상된 것으로 나타났다. 따라서 건강사정 수업 시 간호 대학생들의 문제해결과정, 비판적 사고 성향, 수업참여도, 수업몰입도 향상을 위해서 온라인 플랫폼을 활용한 학습 프로그램을 활용할 수 있을 것으로 사료된다.

• International Journal of Naval Architecture and Ocean Engineering
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• 제11권1호
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• pp.624-637
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• 2019

A semi-submersible offshore platform always operates under complex weather conditions, especially wind and waves. It is vital to analyze the structural dynamic responses of the platform in short-term sea states under the combined wind and wave loads, which touches upon three following work. Firstly, a derived relationship between wind and waves reveals a correlation of wind velocity and significant wave height. Then, an Improved Mixture Simulation (IMS) method is proposed to simulate the time series of wind/waves accurately and efficiently. Thus, a wind-wave scatter diagram is expanded from the traditional wave scatter diagram. Finally, the time series of wind/wave pressures on the platform in the short-term sea states are converted by Workbench-AQWA. The numerical results demonstrate that the proposed numerical methods are validated to be applicable for wind and wave simulations in structural analyses. The structural dynamic responses of the platform members increase with the wind and wave strength. In the up-wind and wave state, the stresses on the deck, the connections between deck and columns, and the connection between columns and pontoons are relatively larger under the vertical bending moment. These numerical methods and results are wished to provide some references for structural design and health monitoring of several offshore platforms.

• 한국물환경학회지
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• 제36권6호
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• pp.636-650
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• 2020

A modeling system that can consider the overall water environment and be used to integrate hydrology, water quality, and aquatic ecosystem on a watershed scale is essential to support decision-making in integrated water resources management (IWRM). In adapting imported models for evaluating the unique water environment in Korea, a platform perspective is becoming increasingly important. In this study, a modeling platform is defined as an ecosystem that continuously grows and provides sustainable values through voluntary participation- and interaction-of all stakeholders- not only experts related to model development, but also model users and decision-makers. We assessed the conceptual values provided by the IWRM modeling platform in terms of openness, transparency, scalability, and sustainability. I We also reviewed the technical aspects of functional and spatial integrations in terms of socio-economic factors and user-centered multi-scale climate-forecast information. Based on those conceptual and technical aspects, we evaluated potential modeling platforms such as Source, FREEWAT, Object Modeling System (OMS), OpenMI, Community Surface-Dynamics Modeling System (CSDMS), and HydroShare. Among them, CSDMS most closely approached the values suggested in model development and offered a basic standard for easy integration of existing models using different program languages. HydroShare showed potential for sharing modeling results with the transparency expected by model user-s. Therefore, we believe that can be used as a reference in development of a modeling platform appropriate for managing the unique integrated water environment in Korea.

• 융합보안논문지
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• 제22권1호
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• pp.129-134
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• 2022

스마트플랫폼이란 기존 플랫폼과 첨단 IT기술을 결합함으로써 물리 및 가상공간을 초연결 환경으로 구현한 진화된 플랫폼이라 정의된다. 초연결로 언급되는 정보와 정보, 인프라와 인프라, 인프라와 정보, 공간과 서비스가 연결은 사용자의 삶의 질과 환경을 획기적으로 변화시켜 주는 고품질의 서비스 구현 및 제공을 가능하게 한다. 특히 스마트 정부와 스마트 헬스케어 구현으로 사회안전망과 개인건강관리 수준을 획기적으로 개선시킨 효과를 모두에게 제공하고 있다. 이 과정에서 생산되고 소비되는 수많은 정보들은 그 자체로서 혹은 빅데이터 분석을 통해 공공 및 개인의 기본권을 위협하는 요인으로 작용할 수 있다. 특히 스마트시티의 생태계를 형성하는 핵심기능으로서의 스마트플랫폼은 자연스럽게 지속적으로 확장되어 가기 때문에 그에 따르는 데이터의 처리운용과 네트워크 운영 상 커다란 보안 부담에 직면하고 있다. 이 논문에서는 스마트시티의 핵심 기능으로서의 플랫폼 구성 요소와 그에 대한 적절한 보안위협 및 대응 방안을 연구한다.