• 한국산업보건학회지
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• 제33권4호
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• pp.395-402
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• 2023

Objectives: Microbial contamination of face masks used by healthcare professionals can vary depending on the degree of exposure to bioaerosols in various healthcare environments. However, research on this topic is limited. Therefore, we analyzed microbial contamination of N95 respirators used in hospital offices, wards, and outpatient settings. Methods: Samples isolated from N95 respirators worn for 2, 4, and 6 hours were incubated at a temperature of 35-37℃ or 25-28℃ for 24 hours or for 3-7 days, and colony-forming units were counted in chocolate agar, tryptic soy agar, and Sabouraud dextrose agar plates. Total indoor airborne bacteria were also measured in the healthcare environments. Finally, microbial species were identified using Gram staining with a microscopic speculum. Results: The three types of environments did not deviate from the maintenance of standard indoor air quality. There was no difference between the microbial species identified in the healthcare environment and mask contamination. However, the number of bacteria in the masks worn in each environment differed, and the degree of contamination increased with mask-wearing time (p<0.05). Conclusions: Therefore, care must be taken to avoid recontamination of masks due to improper use and exposure to biological hazards in healthcare environments. In conclusion, scientific evidence is necessary for safe mask-wearing times. Based on the results of this study, we hope to conduct further research to establish guidelines for the safe use of face masks during respiratory disease epidemics.

• 방사성폐기물학회지
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• 제21권4호
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• pp.543-558
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• 2023

Currently, Japan is undertaking a nationwide project to measure and map radioactive contamination around Fukushima, as part of the efforts to restore normalcy following the nuclear accident. The Japan Atomic Energy Agency (JAEA) manages the Fukushima Environmental Safety Center, located approximately 20 km north of the Fukushima Daiichi nuclear power plant in Minamisōma City, Fukushima Prefecture. In collaboration with the JAEA, this study involved conducting comparison experiments and analyses with radiation detectors in high radiation environments, a challenging task in Korean environments. Environmental radiation surveys were conducted using three types of detectors: CZT, NaI(Tl), and LaBr₃(Ce), across two contaminated areas. Dose rate values were converted using dose rate conversion factors for each detector type, and dose rate maps were subsequently created and compared. The detectors yielded similar results, demonstrating their feasibility and reliability in high radiation environments. The findings of this study are expected to be a crucial reference for enhancing the verification and supplementation of procedures and methods in future radiation measurements and mobile surveys in high-radiation environments, using these three types of radiation instruments.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.93-98
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• 2011

The application of knowledge management concepts as a way to improve project success is an emerging topic for project management researches around the world. The Construction Extension to the PMBOK^® Guide Third Edition documents the knowledge and practices that are generally recognized as good practices for managing engineering and construction projects. However, it is not unusual to see that engineering and construction projects suffer from poor performance. Based on a critical literature review, a theoretical framework is developed for the application of knowledge management in engineering and construction projects. This framework is subsequently applied as a lens to examine the construction extension to the PMBOK^® Guide, aiming to identify the key characteristics of knowledge management in this standard. This research also aims to highlight those aspects of the construction extension to the PMBOK^® Guide that can be improved from the knowledge management perspective. Recommendations are made to improve this standard by means of applying knowledge management concept so that better project outcomes can be achieved.

• 로봇학회논문지
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• 제19권2호
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• pp.149-158
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• 2024

This paper presents a robust autonomous navigation and reconnaissance system for tracked robots, designed to handle complex multi-floor indoor environments with stairs. We introduce a localization algorithm that adjusts scan matching parameters to robustly estimate positions and create maps in environments with scarce features, such as narrow rooms and staircases. Our system also features a path planning algorithm that calculates distance costs from surrounding obstacles, integrated with a specialized PID controller tuned to the robot's differential kinematics for collision-free navigation in confined spaces. The perception module leverages multi-image fusion and camera-LiDAR fusion to accurately detect and map the 3D positions of objects around the robot in real time. Through practical tests in real settings, we have verified that our system performs reliably. Based on this reliability, we expect that our research team's autonomous reconnaissance system will be practically utilized in actual disaster situations and environments that are difficult for humans to access, thereby making a significant contribution.

• ETRI Journal
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• 제46권1호
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• pp.22-34
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• 2024

Exposure to varied noisy environments impairs the recognition performance of artificial intelligence-based speech recognition technologies. Degraded-performance services can be utilized as limited systems that assure good performance in certain environments, but impair the general quality of speech recognition services. This study introduces an audiovisual speech recognition (AVSR) model robust to various noise settings, mimicking human dialogue recognition elements. The model converts word embeddings and log-Mel spectrograms into feature vectors for audio recognition. A dense spatial-temporal convolutional neural network model extracts features from log-Mel spectrograms, transformed for visual-based recognition. This approach exhibits improved aural and visual recognition capabilities. We assess the signal-to-noise ratio in nine synthesized noise environments, with the proposed model exhibiting lower average error rates. The error rate for the AVSR model using a three-feature multi-fusion method is 1.711%, compared to the general 3.939% rate. This model is applicable in noise-affected environments owing to its enhanced stability and recognition rate.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제14권1호
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• pp.40-51
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• 2008

지리적으로 분산되어 있는 지식 노동자들 간에 실재감 있는 공동작업 환경 제공을 위하여, 유비쿼터스 컴퓨팅 기술을 응용한 다양한 시도가 이루어지고 있다. 특히 기존의 문제점으로 지적되어왔던 디스플레이 해상도의 한계, 공동 문서 작업의 불편함, 협업 환경 조작의 어려움과 같은 문제점을 해결하고자, 프레임워크 관점에서의 접근방법들이 연구되고 있다. 본 논문에서는 협업 공간에 주어진 각종 장치 및 네트워크 상태에 적응적으로 기능별 서비스 요소들을 통합하여 협업 환경에서 요구하는 다양한 협업기능들을 만족하도록 유연성 있게 조정할 수 있는 하드웨어/소프트웨어/네트워킹에 걸친 지능형 협업 환경 프레임워크를 설계하고자 한다. 제안하는 프레임워크에 기초하여 초고해상도 디스플레이를 중심으로 네트워킹을 통한 미디어/데이타 공유, 포인팅/트래킹을 활용한 디스플레이 상호작용을 지원하는 협업 환경을 개발한다. 또한 실현 가능성을 검증하기 위해 구축된 협업 노드의 시연 과정을 소개한다.

• 전자공학회논문지CI
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• 제42권4호
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• pp.25-32
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• 2005

모바일 디바이스, PDA 센서들의 확산은 실생활 공간이 지능적이고 향상된 서비스를 제공하는 스마트 공간으로 전환되는 유비쿼터스 컴퓨팅 환경이 구축될 수 있도록 하였다. 그러나 보안문제 특히 적절한 인증 및 접근 제어 기술의 부재로 말미암아, 실생활에서의 이러한 컴퓨팅 패러다임의 변화에 있어, 방해 요소가 되고 있으며, 또한 유비쿼터스 컴퓨팅 환경에서는 보안 대책을 마련하고, 사용자의 프라이버시 보장 또한 매우 중요하다 본 논문에서는 유비쿼터스 컴퓨팅 환경을 위한 사용자 프라이버시를 위한 익명성이 보장되는 효율적인 사용자 인증 및 접근 제어 모델을 제안한다. 본 논문의 제안 모델은 공개키 암호 기술이 아닌 MAC 기반의 익명 인증서와 보안 연계 토큰을 이용하여, 사용자 인증 및 접근 제어를 수행함으로써, 컴퓨팅 연산 능력이 컴퓨팅 연산 능력이 비교적 떨어지는 디바이스들에 적합한 모델이다. 또한 암호 연산 처리 측면에서, Kerberos 시스템과 비교하였을 때, 전반적으로 우수함을 알 수 있었다.

• 디지털콘텐츠학회 논문지
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• 제19권6호
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• pp.1027-1032
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• 2018

최근, e-스포츠, e-게임을 포함하는 e-레저를 위한 새로운 콘텐츠가 요구되고 있다. 이러한 요구로 사람을 추적 대상으로 하는 e-레저용 모바일 AR 연구가 진행되고 있다. e-레저 모바일 AR은 실외환경에서 사용되기 때문에, 원거리에서의 추적 성능이 중요하다. 그러나, snow, snapchat 등과 같은 기존 모바일 AR은 원거리에서 추적 성능이 낮은 단점이 있다. 따라서, 본 논문에서는 실외환경에서의 e-레저 모바일 AR을 제안한다. 제안된 e-레저 모바일 AR은 색상 마커 및 인체비를 이용하여 실외환경(원거리)에서 머리의 위치를 추적하고, 추적된 위치에 가상의 객체를 증강한다. 제안된 e-레저 모바일 AR의 성능은 추적 성능 및 연산 시간의 측정 실험을 통해 검토되었다.

• 전자공학회논문지CI
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• 제46권3호
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• pp.15-23
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• 2009

유비쿼터스 환경은 보이지 않는 수많은 장치들과 소프트웨어들이 서로 연결되어 각각의 사용자들에게 편리한 서비스를 제공한다. 이러한 환경에서 사용자는 자신이 소유한 개인용 모바일 단말 만을 이용하여 다양한 맞춤형 서비스를 얻기를 원한다. 그러나 개인용 단말이 소형화되면서 제한된 장치를 갖는 것이 현실이다. 그러므로 이러한 장치의 제한성을 해결하기 위한 방법으로 장치 공유와 이를 효과적으로 처리하는 것은 새로운 연구 주제들 가운데 하나이다. 본 논문에서는 장치 공유 환경에서 사용자가 요청한 서비스를 구성하기 위한 장치들을 주변에서 찾고 사용자에게 추천하기 위한 장치 추천 시스템을 제안한다. 장치 추천 시스템은 주변 환경 상황을 고려하여 사용자가 요청한 서비스에 따른 장치를 추론한다. 그러나 사용자가 동일한 공간에서 동일한 서비스를 요청한다 할지라도 각 사용자를 위한 맞춤형 장치라고 볼 수는 없다. 그러므로 논문에서는 사용자의 선호도를 기반으로 장치를 추천한다. 논문에서 제안하고 있는 장치 추천 시스템은 실제 유비쿼터스 환경의 모바일 단말에서 구현하고 테스트하였으므로 실제 환경에서 충분히 사용가능함을 보인다.

• Journal of Computational Design and Engineering
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• 제3권3호
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• pp.250-265
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• 2016

Owing to our rapidly aging society, accessibility evaluation to enhance the ease and safety of access to indoor and outdoor environments for the elderly and disabled is increasing in importance. Accessibility must be assessed not only from the general standard aspect but also in terms of physical and cognitive friendliness for users of different ages, genders, and abilities. Meanwhile, human behavior simulation has been progressing in the areas of crowd behavior analysis and emergency evacuation planning. However, in human behavior simulation, environment models represent only "as-planned" situations. In addition, a pedestrian model cannot generate the detailed articulated movements of various people of different ages and genders in the simulation. Therefore, the final goal of this research was to develop a virtual accessibility evaluation by combining realistic human behavior simulation using a digital human model (DHM) with "as-is" environment models. To achieve this goal, we developed an algorithm for generating human-like DHM walking motions, adapting its strides, turning angles, and footprints to laser-scanned 3D as-is environments including slopes and stairs. The DHM motion was generated based only on a motion-capture (MoCap) data for flat walking. Our implementation constructed as-is 3D environment models from laser-scanned point clouds of real environments and enabled a DHM to walk autonomously in various environment models. The difference in joint angles between the DHM and MoCap data was evaluated. Demonstrations of our environment modeling and walking simulation in indoor and outdoor environments including corridors, slopes, and stairs are illustrated in this study.