• Structural Engineering and Mechanics
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• 제70권4호
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• pp.457-466
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• 2019

This study develops a damage detection method based on neural networks. The performance of the method is numerically and experimentally verified using a three-story shear building model. The framework is mainly composed of two hierarchical stages to identify damage location and extent using artificial neural network (ANN). The normalized damage signature index, that is a normalized ratio of the changes in the natural frequency and mode shape caused by the damage, is used to identify the damage location. The modal parameters extracted from the numerically developed structure for multiple damage scenarios are used to train the ANN. The positive alarm from the first stage of damage detection activates the second stage of ANN to assess the damage extent. The difference in mode shape vectors between the intact and damaged structures is used to determine the extent of the related damage. The entire procedure is verified using laboratory experiments. The damage is artificially modeled by replacing the column element with a narrow section, and a stochastic subspace identification method is used to identify the modal parameters. The results verify that the proposed method can accurately detect the damage location and extent.

• 한국전자통신학회논문지
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• 제16권1호
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• pp.135-144
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• 2021

철도 시스템에서는 인프라 기반의 열차 검측시스템을 통해 열차의 위치정보를 획득하는 것이 일반적이다. 하지만 미검출 및 오검출에 의해 잘못된 위치정보가 제공될 수 있으며, 이로 인한 사고를 야기할 수 있는 문제점을 갖고 있다. 따라서 본 연구에서는 센서 기반 복합항법시스템을 사용하여 열차의 위치정보를 제공하는 방법을 제안한다. 그러나 정확한 정보제공을 위해 복합 항법 시스템의 신뢰성을 검증해야 한다. 따라서 본 논문에서는 실 궤적을 기반으로 기준 궤적과 센서 데이터를 생성하고 다양한 시나리오에 따른 복합 항법 시스템의 성능을 실 궤적 상에서 분석할 수 있는 시뮬레이터를 개발한다.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.212-218
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• 2021

Low-power and Lossy Networks (LLNs) have become the common network infrastructure for a wide scope of Internet of Things (IoT) applications. For efficient routing in LLNs, IETF provides a standard solution, namely the IPv6 Routing Protocol for LLNs (RPL). It enables effective interconnectivity with IP networks and flexibly can meet the different application requirements of IoT deployments. However, it still suffers from different open issues, particularly in large-scale setups. These include the node unreachability problem which leads to increasing routing losses at RPL sink nodes. It is a result of the event of memory overflow at LLNs devices due to their limited hardware capabilities. Although this can be alleviated by the establishment of multi-sink topologies, RPL still lacks the support for effective load balancing among multiple sinks. In this paper, we address the need for an efficient multi-sink load balancing solution to enhance the performance of PRL in large-scale scenarios and alleviate the node unreachability problem. We propose a new RPL objective function, Multi-Sink Load Balancing Objective Function (MSLBOF), and introduce the Memory Utilization metrics. MSLBOF enables each RPL node to perform optimal sink selection in a way that insure better memory utilization and effective load balancing. Evaluation results demonstrate the efficiency of MSLBOF in decreasing packet loss and enhancing network stability, compared to MRHOF in standard RPL.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.399-408
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• 2021

Information security reports four types of basic attacks on information. One of the attacks is named as fabrication. Even though mobile devices and applications are showing its maturity in terms of performance, security and ubiquity, location-based applications still faces challenges of quality of service, privacy, integrity, authentication among mobile devices and hence mobile users associated with the devices. There is always a continued fear as how location information of users or IoT appliances is used by third party LB Service providers. Even adversary or malicious attackers get hold of location information in transit or fraudulently hold this information. In this paper, location information fabrication scenarios are presented after knowing basic model of information attacks. Peer-to-Peer broadcast model of location privacy is proposed. This document contains introduction to fabrication, solutions to such threats, management of fabrication mitigation in collaborative or peer to peer location privacy and its cost analysis. There are various infrastructure components in Location Based Services such as Governance Server, Point of interest POI repository, POI service, End users, Intruders etc. Various algorithms are presented and analyzed for fabrication management, integrity, and authentication. Moreover, anti-fabrication mechanism is devised in the presence of trust. Over cost analysis is done for anti-fabrication management due to nature of various cryptographic combinations.

• Journal of Radiation Protection and Research
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• 제48권1호
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• pp.20-27
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• 2023

Background: As the number of nuclear facilities nearing their pre-determined design life increases, demand is increasing for technology and infrastructure related to the decommissioning and decontamination (D&D) process. It is necessary to consider the nature of the dismantling environment constantly changing and the worker doing new tasks. A method was studied that can calculate the effect of learning and the change in work time on the work process, according to the learning-forgetting curve model (LFCM). Materials and Methods: The LFCM was analyzed, and input values and scenarios were analyzed for substitution into the D&D process of a nuclear facility. Results and Discussion: The effectiveness and efficiency of the training were analyzed. It was calculated that skilled workers can receive a 16.9% less collective radiation dose than workers with only basic training. Conclusion: Using these research methods and models, it was possible to calculate the change in the efficiency of workers performing new tasks in the D&D process and the corresponding reduction in the work time and collective dose.

• 한국안전학회지
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• 제38권1호
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• pp.18-24
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• 2023

Severe natural disasters and man-made attacks such as terrorism are causing unprecedented disruptions in power systems. Due to rapid climate change and the aging of energy infrastructure, both the frequency of failure and the level of damage are expected to increase. Resilience is a concept proposed to respond to extreme disaster events that have a low probability of occurrence but cause enormous damage and is defined as the ability of a system to recover to its original function after a disaster. Resilience is a comprehensive indicator that can include system performance before and after a disaster and focuses on preparing for all possible disaster scenarios and having quick and efficient recovery actions after an incident. Various studies have been conducted to evaluate resilience, but studies on economic damage considering the duration of a power outage are scarce. In this study, we propose an optimal algorithm that can identify failures after an extreme disaster and restore the load on the distribution system through emergency distributed power generation input and system reconfiguration. After that, the cost of power outage damage is analyzed by applying VoLL and CDF according to each restoration strategy.

• 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.582-585
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• 2011

During disaster response, prioritization of limited resources is one of the most important bust challenging tasks. At the same time, it is imperative to timely provide the rescuers with the adequate equipment to facilitate lifesaving operations. However, supply of high demand equipment was insufficient during the initial phase of disaster response, challenging lifesaving operations in the case of the 9-11 terrorist attacks. In respond to the Haiti Earthquake, spatial information of the geographic area was not sufficient to support the search and rescue operations in the early phase of disaster response. However, with the help of civilians, information such as road names, infrastructure damage, and victim locations were updated into the spatial data repository. At the same time, resource outside of the disaster affected zone converges into the area to assist the response efforts, which is the effect of convergence that often made resource coordination challenging in large scale disasters. To efficiently collect information and utilize the converging resources, this paper proposes a flexible data repository for information update for equipment utilization in large scale disaster response scenarios.

• Geomechanics and Engineering
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• 제37권1호
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• pp.21-29
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• 2024

The effective management of damage in tunnels is crucial for ensuring their safety, longevity, and operational efficiency. In this paper, we propose an educational management model tailored specifically for addressing damage in tunnels, utilizing numerical solution techniques. By leveraging advanced computational methods, we aim to develop a comprehensive understanding of the factors contributing to tunnel damage and to establish proactive measures for mitigation and repair. The proposed model integrates principles of tunnel engineering, structural mechanics, and numerical analysis to facilitate a systematic approach to damage assessment, diagnosis, and management. Through the application of numerical solution techniques, such as finite element analysis, we demonstrate the efficacy of the proposed model in simulating various damage scenarios and predicting their impact on tunnel performance. Additionally, the educational component of the model provides valuable insights and training opportunities for tunnel management personnel, empowering them to make informed decisions and implement effective strategies for ensuring the structural integrity and safety of tunnel infrastructure. Overall, the proposed educational management model represents a significant advancement in tunnel management practices, offering a proactive and knowledge-driven approach to addressing damage and enhancing the resilience of tunnel systems.

• 한국습지학회지
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• 제16권2호
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• pp.173-185
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• 2014

기후변화로 인해 폭우 및 재해들이 일어나고 있다. 특히 강우강도가 커짐에 따라 토사유출도 심해지고 있다. 이에 따라 효율적인 수자원 및 수질 관리를 위해 지하수 함양량과 기저유출, 그리고 토사유출 현황을 평가 하는 것이 필요하다. 이에 본 연구에서는 대표적인 급경사지 유역인 양구 해안면 유역에 미래기후변화 시나리오를 적용하여 지하수 함양량, 기저유출량, 유사량을 전망하였으며, 또한 유역의 경사도를 완만하게 줄임으로서 지하수 함양량, 기저유출량, 유사량의 변화를 분석하였다. 모의 기간을 2013~2040년, 2041~2070년, 2071~2100년으로 나누었으며, 급경사지 유역보다 유역의 경사도를 완만하게 줄인 경우가 지하수 함양량이 평균 50% 증가되었으며, 기저유출량도 약 42% 증가되었다. 유사량은 급경사지 유역보다 경사도를 완만하게 줄였을 경우가 72% 유사량이 줄어드는 것으로 나타났다. 본 연구의 결과에서 보이는 바와 같이 경사도를 완만하게 적용하면 유역 내 지하수 함양량 및 기저유출량이 증가하고, 유사량을 저감 시킬 수 있는 것으로 분석되어 향후 탁수에 긍정적인 영향을 미칠 것으로 판단된다.

• 한국산학기술학회논문지
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• 제17권1호
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• pp.367-373
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• 2016

국가공간정보체계(NSDI)는 국가 공공기관의 공간정보를 통합 연계하여 공동 활용하기 위한 목적으로 2008년부터 추진되어 2012년 그 사업을 완료하였다. NSDI의 존재에도 불구하고 각 기관의 공간정보와 NSDI의 공간정보가 동시에 갱신되지 않는 방식을 사용하기 때문에 최신성 확보에 어려움이 있다. 공공기관의 공간정보를 활용한 서비스 사용현황을 살펴보면, 재활용이 가능한 비슷한 서비스가 중복 구축 및 운영되고 있으며 이에 따라 국가 예산이 낭비되고 있다. 이러한 이슈들은 전산자원을 공유하기 위한 목적의 클라우드 시스템을 NSDI에 적용함으로써 해결될 수 있다. 본 논문에서는 서비스 클라우드 기반의 NSDI 확대발전 방안을 다룬다. 제안되는 NSDI의 확대 발전 방안은 공간정보 서비스 클라우드 시스템 구축방안과 거버넌스 체계 수립방안을 포함한다. 시스템 구축방안에서는 서비스 시나리오, 목표 시스템의 개념도, 그리고 서비스 기능이 도출된다. 서비스 기능에서는 제안된 두 가지 모듈에 대한 단위 기능과 세부 기능을 도출한다. 거버넌스 체계 수립방안에서는 서비스 클라우드 기반의 NSDI 운영을 위한 서비스 라이프사이클 단계별 조직의 필요역할을 정의하고 업무 프로세스를 도출한다. 제안된 시스템 구축방안을 기반으로 상세 시스템을 설계하고 조직을 구성함으로써 서비스 클라우드 기반의 NSDI 체계가 구축될 수 있을 것으로 기대된다.