• 한국항행학회논문지
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• 제28권2호
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• pp.163-171
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• 2024

기존 항공교통관리 (ATM; air traffic management) 체계에서는 항공기 위치 및 세부 운항 정보와 함께 항공기 운항의 안전성을 보장하기 위하여 다양한 형태의 안전 경고 기능을 항적 정보를 기반으로 함께 제공한다. 도심항공교통(UAM; urban air mobility)을 대상으로 한 도심항공교통관리(UATM; urban air traffic management) 체계에서도 UAM 운항의 안전성을 보장하기 위한 안전 경고 기능이 제공되어야 한다. UAM의 운항 환경을 고려하였을 때 기존 ATM 체계에서 준용하는 수준과 동등한 또는 더 높은 수준의 안전 경고 기능이 제공되어야 한다. 본 연구는 UAM 도입 및 상용화 단계에 앞서 기존 ATM 체계에서 제공하는 안전 경고 기능과 다른 새로운 UATM 체계의 안전 경고 기능을 제시하고자 한다. UAM의 경로 이탈 발생 시 제공되어야 하는 안전 경고 기능을 중심으로 연구를 진행하였으며 접근 단계에서 적용되는 APM (approach path monitor) 및 순항 단계에서 적용되는 RAM (route adherence monitoring) 두 가지 부분으로 나누어 안전 경고 기능 구축을 진행하였다.

• 한국항행학회논문지
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• 제27권6호
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• pp.804-814
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• 2023

인구밀도가 높은 도심지 내에서 비행하게 되는 UAM의 비행경로 하부 및 주변으로는 각종 건축물이 산재하게 된다. 그리고 UAM이 이착륙하는데 사용하는 버티포트는 도심 내의 평지 또는 건축물 상부 등에 위치하게 된다. 이처럼 UAM은 인구밀도가 높은 도심에서 운항하고, 이착륙을 위한 버티포트는 인구밀집지역에 설치됨에 따라 매우 높은 수준의 안전도가 요구된다. 특히 UAM의 안전한 착륙을 위해 최종접근진로에서 버티포트로 접근하는 UAM의 접근상태를 감시하고 접근정보를 제공할 필요가 있다. 이에 UAM 버티포트 최종접근진로 감시를 위해 좁은 부지에 설치가 가능하면서 전자파의 부담이 적다는 장점이 있는 광학장비를 활용하는 기술에 대한 연구를 진행하였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.975-983
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• 2022

This paper presents an innovative way of integrating scheduling and project controls with the environmental impact of a construction project to track, monitor, and manage environmental emissions at the activity level. As a starting point, scheduling and project controls help monitor the status of a project to provide an assessment of the duration and sequence of activities. Additionally, project schedules can also reflect resource allocation and costs associated with various phases of a construction project. Owners, contractors and construction managers closely monitor tasks or activities on the critical path(s) and/or longest path(s) calculated through network based scheduling techniques. However, existing industry practices do not take into account environmental impact associated with each activity during the life cycle of a project. Although the environmental impact of a project may be tracked in various ways, that tracking is not tied to the project schedule and, as such, generally is not updated when schedules are revised. In this research, a Cradle to Gate approach is used to estimate environmental emissions associated with each activity of a sample project schedule. The research group has also investigated the potential determination of scenarios of lowest environmental emissions, just as project managers currently determine scenarios with lowest cost or time. This methodology can be scaled up for future work to develop a library of unit emissions associated with commonly used construction materials and equipment. This will be helpful for project owners, contractors, and construction managers to monitor, manage, and reduce the carbon footprint associated with various projects.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.17-26
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• 2022

Sensor Nodes play a major role to monitor and sense the variations in physical space in various real-time application scenarios. These nodes are powered by limited battery resources and replacing those resource is highly tedious task along with this it increases implementation cost. Thus, maintaining a good network lifespan is amongst the utmost important challenge in this field of WSN. Currently, energy efficient routing techniques are considered as promising solution to prolong the network lifespan where multi-hop communications are performed by identifying the most energy efficient path. However, the existing scheme suffer from performance related issues. To solve the issues of existing techniques, a novel hybrid technique by merging particle swarm optimization and game theory model is presented. The PSO helps to obtain the efficient number of cluster and Cluster Head selection whereas game theory aids in finding the best optimized path from source to destination by utilizing a path selection probability approach. This probability is obtained by using conditional probability to compute payoff for agents. When compared to current strategies, the experimental study demonstrates that the proposed GTPSO strategy outperforms them.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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• pp.345-348
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• 1994

A real-time collision avoidance algorithm for an AMR (Autonomous Mobile Robot) using the Distance Transform and Vector Field Histogram is studied. This approach enables AMR to find a collision-free path with the unknown obstacles. All system parameters including positions of the obstacles can be accepted using a mouse icon and all the obtained trajectories can be displayed on a computer monitor in graphics.

• Smart Structures and Systems
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• 제20권2호
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• pp.175-180
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• 2017

The load-carrying capacity and structural behavior of concrete-filled steel tube (CFST) structures is highly influenced by the grouting compactness in the steel tube. Due to the invisibility of the grout in the steel tube, monitoring of the grouting progress in such a structure is still a challenge. This paper develops an active sensing approach with combined piezoceramic-based smart aggregates (SA) and piezoceramic patches to monitor the grouting compactness of CFST bridge structure. A small-scale steel specimen was designed and fabricated to simulate CFST bridge structure in this research. Before casting, four SAs and two piezoceramic patches were installed in the pre-determined locations of the specimen. In the active sensing approach, selected SAs were utilized as actuators to generate designed stress waves, which were detected by other SAs or piezoceramic patch sensors. Since concrete functions as a wave conduit, the stress wave response can be only detected when the wave path between the actuator and the sensor is filled with concrete. For the sake of monitoring the grouting progress, the steel tube specimen was grouted in four stages, and each stage held three days for cement drying. Experimental results show that the received sensor signals in time domain clearly indicate the change of the signal amplitude before and after the wave path is filled with concrete. Further, a wavelet packet-based energy index matrix (WPEIM) was developed to compute signal energy of the received signals. The computed signal energies of the sensors shown in the WPEIM demonstrate the feasibility of the proposed method in the monitoring of the grouting progress.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권4호
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• pp.181-186
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• 2016

무인항공기(Unmanned Aerial Vehicle, UAV)는 짧은 시간 동안 넓은 범위의 정찰이 가능하기 때문에 최근에는 이를 활용한 감시 시스템 연구가 주목을 받고 있다. 넓은 범위를 감시할 때 조종사가 반복적으로 UAV를 비행시키는 것은 운영에 필요한 비용 문제가 발생한다. 감시를 위한 비행경로를 사전에 정의할 수 있다면 이를 기반으로 UAV를 자율 비행시켜 비용 문제를 해결할 수 있다. 전통적인 접근 방법은 GPS를 기반으로 비행할 경로를 다수 개의 모터프리미티브로 정의한다. 하지만, UAV가 감시할 지점이 모터프리미티브에 반영되지 않아 감시가 제대로 수행되지 못하는 문제가 발생한다. 이 논문에서는 감시용 UAV를 자율 비행시키기 위한 모터프리미티브의 구조를 제안한다. 모터프리미티브는 감시 대상을 정확히 기술하기 위해서 자동으로 감시할 지점을 선택하여 생성된다.

• 대한한의학회지
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• 제44권1호
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• pp.38-55
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• 2023

Objectives: The purpose of this study was to provide direction for future research in the field of Korean medicine by analyzing microbiome based technologies emerging as a new diagnostic and treatment paradigm. Methods: To achieve the purpose of the study intellectual property data was used. After establishing citation network from registered microbiome-related US patents, citation network was analyzed by knowledge persistence-based main path approach to understanding technological trajectories. Furthermore, community detection algorithms were used to quantitatively identifying specific technological domain in a particular time period. Results: Results shows that early technologies in livestock industry contribute most to the recent patents. Knowledge in the patents flow through the path of food and beverage technological domain, and finally are inherited to the recent development of diagnosis, treatment and prevention technic. Conclusions: This study indicate that developing diagnostic tools which can link the composition of microbiome to specific diseases should be given high priority. Researches should lead to novel therapeutic strategies. Specifically, improving reliability of pattern identification and finding effective therapeutic compositions based on principles of Korean medicine is necessary.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제5권12호
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• pp.615-622
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• 2016

차량전장용 제어 소프트웨어는 표준에 명시된 시스템 호출 제약사항을 위배할 경우 심각한 안전성 위협을 초래할 수 있다. 그러나 제약사항 위배는 실행경로가 복잡해질 경우 수동분석으로 색출하기 어렵고 테스팅을 통해 찾아내기도 어려워 이에 특화된 검증 방법이 필요하다. 본 연구에서는 차량전장용 제어 소프트웨어의 시스템 호출 제약사항 위배 여부를 효과적으로 검증하기 위한 두 가지 방법을 소개하고 그 효과를 실험적으로 비교하였다. 첫 번째 방법은 애플리케이션의 모든 가능한 실행경로를 탐색하고 각 경로의 제약사항 준수여부를 확인하는 방법이며, 두 번째 방법은 모델 검증 도구를 이용하여 애플리케이션이 오토마타로 표현된 제약사항을 위배하는 경우가 발생가능한지 확인하는 방법이다. 각 방법을 구현하고 실험한 결과 실행경로를 이용한 방법은 오탐을 유발하고 몇 가지 제약사항 위반을 놓치는 경우가 있는데 반해서 모델 검증을 이용한 방법은 오탐이 없었으며 비교적 큰 애플리케이션을 대상으로 보다 빠른 시간 내에 검증을 수행할 수 있음을 보였다.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2008년 영문 학술대회
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• pp.187-194
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• 2008

Because the types and severities of most engine faults are various and complex, it is not easy that the conventional model based fault detection approach like the GPA(Gas Path Analysis) method can monitor all engine fault conditions. Therefore this study proposed newly a diagnostic algorithm for isolating and diagnosing effectively the faulted components of the smart UAV propulsion system, which has been developed by KARI(Korea Aerospace Research Institute), using the fuzzy logic and the neural network algorithms. A precise performance model should be needed to perform the model-based diagnostics. The based engine performance model was developed using SIMULINK. For the work and mass flow matching between components of the steady-state simulation, the state-flow library was applied. The proposed steady-state performance model can simulate off-design point performance at various flight conditions and part loads, and in order to evaluate the steady-state performance model their simulation results were compared with manufacturer's performance deck data. According to comparison results, it was confirm that the steady-state model well agreed with the deck data within 3% in all flight envelop. The diagnosis procedure of the proposed diagnostic system has the following steps. Firstly after obtaining database of fault patterns through performance simulation, then secondly the diagnostic system was trained by the FFBP networks. Thirdly after analyzing the trend of the measuring parameters due to fault patterns, then fourthly faulted components were isolated using the fuzzy logic. Finally magnitudes of the detected faults were obtained by the trained neural networks. Because the detected faults have almost same as degradation values of the implanted fault pattern, it was confirmed that the proposed diagnostic system can detect well the engine faults.