The purpose of this study is to select a fishing gear deposit marking method for the gear deposit system implemented for gillnet. The fishing gear deposit system was implemented in Korea for the first time in the world in January 2024 for fish trap, and it is scheduled to be expanded to gillnets and buoys by 2026. In this study, an AHP (Analytic Hierarchy Process) survey was conducted with 34 experts. The AHP analysis method was used to calculate the weights of each criterion that influence the selection of the deposit marking method, in order to determine the optimal marking method that considers both qualitative and quantitative criteria. Experts prioritized the label-type marking and preferred the weight-based deposit unit for its ease of application and ability to measure multiple gear widths at once. This study quantitatively reflects the opinions of experts on the selection of the gillnet deposit system. Future research should examine the impact of marking method on fishing performance, durability, and institutional improvements.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the ROKAF(Republic Of Korea Air Force). With the recent emergence of the population declining issue in Republic of Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. In order to solve these issues, we consider to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, CEP(Circular Error Probable), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. The experimental result's analysis of the proposed model indicate a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. We hope that our model will be reflected to help improve the operational capabilities of Republic of Korea Air Force.

The purpose of this study was to identify and evaluate hazardous road sections based on roadside friction. Using GIS mapping and clustering techniques, this study analyzed traffic accidents and roadside friction data based on latitude and longitude coordinates. The density-based spatial clustering of applications with noise (DBSCAN) algorithm was applied, with parameters of MinPts = 5 and eps = 0.0001, determined through a K-nearest neighbor analysis. The data were separated based on traffic flow direction (uphill/ downhill), and clustering was performed separately in each direction to identify specific hazard zones. The DBSCAN clustering results revealed 18 clusters in traffic accident data and 44 clusters in roadside friction data. Traffic accident clusters include various types of accidents (e.g., vehicle-to-vehicle and vehicle-to-pedestrian accidents), identifying locations as high-accident zones. The clustering results from the roadside friction data highlighted areas with crosswalks, absence of curbs, and roadside parking zones as major risk sections. Future research should analyze the operational design domain (ODD) of autonomous vehicles on hazardous road sections and explore the integration of multiple data sources to establish a comprehensive safety management system for accident prevention in autonomous driving environments. Additionally, road hazard sections are categorized into stages (e.g., hazardous, cautious, and safe) to enhance the precision in assessing road conditions. This categorization, combined with a detailed analysis of ODD, serves as a foundation for future research aimed at improving the safety of autonomous driving environments.

최근 연구들은 열망 수준 대비 성과하락이 다국적 기업들의 해외직접투자 입지 선정에 영향을 미 친다는 점에 주목하면서도, 이러한 관계의 경계 조건을 충분히 탐구하지 않았다. 이에 본 연구는 기업 수준의 연구개발(R&D) 집중도와 매출 총이익률이 열망 수준 대비 성과하락과 다국적 기업 의 해외직접투자 입지 선정 간 관계를 어떻게 조절하는지 분석한다. 구체적으로 본 연구는 기업들 이 일반적으로는 성과하락을 경험할 시 단기적으로 효과적인 성과 향상을 위해 개발도상국에 투자 하는 것을 선호하지만 R&D 집중도와 매출 총이익률이 높은 기업들은 단기적 성과 회복보다는 혁 신 역량 개발, 제품 차별화와 같은 장기적인 전략적 목표를 우선시하고 있기에 성과 저하에 대응하 여 선진국 대비 개발도상국에 투자할 가능성이 상대적으로 낮다는 점을 강조한다. 이는 개발도상국 이 안정적인 시장 환경과 고부가가치 기회를 선진국에 비해 상대적으로 덜 제공하기 때문이다. 2017년부터 2022년까지 미국 다국적 기업들의 해외직접투자 활동 데이터를 분석한 결과, 이러한 가설들이 지지되었다. 본 연구는 성과하락이 특정 투자 유형으로 일관되게 이어지지 않으며, 기업 의 전략적 지향성에 따라 달라질 수 있다는 점을 다국적 기업들의 해외직접투자 입지 선정 맥락에 서 강조하여 기존의 성과 피드백 연구와 국제경영 문헌에 기여한다.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the Republic of Korea Air Force. With the recent emergence of the population cliff issue due to declining birth rates in Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. This study aims to enhance operational environments and mission efficiency within the military. The objective is to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, Circular Error Probable (CEP), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. Experimental analysis of the proposed model indicated a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. It is hoped that this model will be applied in military settings.

This study presents an optimization model for the Tactical Information Communication Network (TICN), which is crucial for military operations, focusing on the efficient deployment of communication nodes to create a rapid and robust network while minimizing both distances and the number of nodes required. By integrating mixed integer programming (MIP) with minimum spanning tree (MST) and Steiner Tree algorithms, the model ensures that nodes are connected through the shortest, most efficient routes. Simulations demonstrate the model’s ability to form cohesive networks under constrained resources and time, reducing transmission distances and maintaining network stability. Case studies in a grid environment confirm the system's efficiency, with the model able to redeploy nodes if damaged to preserve network integrity. By utilizing both high- and low-capacity transmission systems, the model ensures reliable communication in challenging terrains like Korea’s mountainous landscape. The findings have critical implications for military communication strategies, especially for multi-domain operations involving air, land, and sea forces, and support decision-making for rapid and efficient deployment of communication networks in unpredictable conditions.

To mitigate carbon emissions, the government aims to transition to renewable energy sources including hydrothermal energy, specifically through wastewater heat recovery. This process involves extracting heat from wastewater or treated water. However, assessments of demand sources for local cooling and heating have predominantly focused on the proximity of nearby facilities, without conducting comprehensive demand analyses or defining explicit supply areas. This study proposes a methodology for prioritizing suitable wastewater treatment plants (WWTPs) for the implementation and expansion of renewable energy. The methodology is based on the gross floor area of potential wastewater heat demand surrounding WWTPs. Initially, potential supply and demand sources were identified based on the capacity of WWTPs and the gross floor area of buildings capable of utilizing wastewater heat. In the Republic of Korea, 330 WWTPs with a capacity of 5,000 m3/day or more have been recognized as demand sources for wastewater heat recovery. The provision of treated wastewater to structures located within a 500 m radius of the WWTPs for heat recovery is considered a feasible option. The potential wastewater heat demand and renewable energy cluster were identified among the surrounding buildings and complexes A total of 13 potential supplies were identified, provided that the gross floor exceeded 60,000 m². Finally, after prioritizing based on WWTPs with these conditions, the underground plant located in the downtown area was ranked as the highest priority. If further analysis of economic feasibility, CO2 reduction, and energy efficiency are conducted, this approach can be expanded and applied within the framework the Water-Energy Nexus. Wastewater heat can be utilized not only as a renewable energy source but also as a means to enhance wastewater reuse through the supply of treated wastewater.

이동 물체의 전역 경로 탐색에 있어 출발지점과 도착지점은 반드시 필요한 조건 중 하나이다. 선박의 경로 탐색에 있어 도착 가능 지점은 부두 이외 선박의 입출항 전 대기 장소 및 선박 수리 등 다양한 목적으로 이용되는 정박지(Anchorage)도 포함될 수 있다. 이 러한 정박지는 연안 해역 환경에 따라 특정 형태로 설계된 공간으로 경로 탐색을 위한 도착지점은 선박이 정박을 위한 투묘 지점이라고 볼 수 있다. 이에, 본 연구에서는 샘플링 기반 탐색 알고리즘 중 PRM 및 계산 기하학 알고리즘을 통해 정박지라는 특정 공간에 대해 다른 선박이 점유하지 않는 공간 탐색을 통한 투묘 지점 산출 방법을 제시하였다. 또한, 개발된 알고리즘을 검증하기 위하여 국내 목포항 11번 정박지를 대상 해역으로 선정하고 시뮬레이션을 수행한 결과 다른 선박이 점유하지 않는 공간에 대해 투묘 지점을 탐색할 수 있었다. 본 연구의 결과는 향후 선박의 의사 결정 및 VTS의 정박지 관리를 위한 지원 방안으로 활용될 수 있을 것으로 기대된다.

본 논문에서는 신뢰성 기반 최적설계(RBDO)에서 성능함수의 비선형성을 고려한 효율적인 차원감소법(DRM)을 제안한다. 차원감 소법은 적분직교점과 가중치를 사용하여 1차 신뢰도법(FORM) 보다 더 정확하게 신뢰도를 평가하는 반면 성능함수를 추가로 해석해 야하기 때문에 적분직교점의 개수가 증가하면 효율성이 저해된다. 본 논문에서는 신뢰성 기반 최적설계에서 성능함수의 비선형도를 평가하고, 비선형도에 따라 적분직교점의 수를 결정하는 기준을 제안한다. 이를 통해 신뢰성 기반 최적설계가 진행될 때 반복마다 적 분직교점의 수를 조절하여 차원감소법의 정확도는 유지하면서 계산의 효율성은 개선하는 방안을 제안한다. 성능함수의 비선형도 평 가는 최대가능목표점(MPTP) 탐색에 사용한 벡터 사이의 각도를 통해 이루어지며, 수치 테스트를 통해 비선형도에 따른 적절한 적분 직교점의 수를 도출하였다. 2차원 수치예제를 통해 개발된 방법이 차원감소법이나 몬테카를로 시뮬레이션(MCS)의 정확도는 유지하 면서 효율성이 향상된다는 것을 확인하였다.