도라지는 한국, 중국 그리고 일본에서 주로 재배되는 약용 작물이다. 도라지의 뿌리는 사포닌의 함량이 높고 기관지 보 호에 효과가 좋아 약재로 이용이 많이 될 뿐만 아니라 가공식 품, 화장품의 원료로 많이 이용되고 있다. 하지만 도라지의 대 량 생산을 위한 폐쇄형 식물 생산 시스템 내 적정 광 환경에 대 한 기초 데이터가 전무한 실정이다. 본 연구는 도라지의 광도 와 광주기를 구명하기 위해 수행되었다. 도라지는 온도 24.9 ± 0.9℃, 상대습도 53.7 ± 10.9%의 폐쇄형 식물 생산 시스템에 서 48일간 육묘하였다. 광도는 100, 150 및 200 ± 10μmol·m-2·s-1 그리고 광주기는 10/14, 12/12, 14/10h(명기/암기)로 처리하 였다. 가장 높은 광도인 200μmol·m-2·s-1에서 지상부 생육이 가장 우수하였고 12/12와 14/10h 사이에는 유의적인 차이가 나타나지 않았다. 200μmol·m-2·s-1에서 광주기 12/12h의 절 간장은 14/10h보다 유의적으로 짧았다. 200μmol·m-2·s-1에 서 지하부 생육의 경우 광주기 12/12h보다 14/10h의 생육이 우수하였다. 결론적으로, 200μmol·m-2·s-1, 12/12h는 도라지 공정 육묘의 광 환경으로 적합할 것으로 판단된다.

본 연구는 계분의 바이오차 전환을 통해 새로운 처리 방안 및 전량 수입되는 주요 상토 원료의 대체 가능성을 확인하고 농업적으로 활용하기 위해 수행되었다. 계분 바이오차(CMB, chicken manure biochar)는 계분과 목질계 바이오매스를 이용하였으며, 100:0(CMB1), 95:5(CMB2), 90:10(CMB3), 85:15(CMB4), 80:20(CMB5), 75:25(CMB6) 및 70:30(CMB7)의 비율로 각각 혼합하여 혐기성 열분해를 통해 생산하였다. 생산된 계분 바이오차는 비료공정규격과 비교하였을 때 CMB4부터 염분함량이 1.93%로 조건을 충족하였으나 원료인 계분의 염분 변동성과 계분의 활용을 극대화하기 위해 염분함량이 1.80%인 CMB5를 최적 생산조건으로 선정하였다. 계분 바이오차를 이용한 상토(BS, bedsoil) 제조는 상토의 주요 원료인 코코피트 대신 계분 바이오차를 1~5%(CMB+BS 1~5%)의 부피 비율로 대체하여 생산하였다. 계분 바이오차 상토는 혼합 비율에 상관없이 비료공정규격을 준수하였고, 이를 이용하여 배추, 상추, 열무, 무, 완두를 대상으로 비해평가를 진행한 결과, 열무를 제외한 작물의 생육이 계분 바이오차가 1~2% 투입된 처리구에서 대조구와 비교하였을 때 초장은 –7~79.2%, 엽수의 경우 0~50.7% 증가한 것을 확인할 수 있었다. 또한 제작된 계분 바이오차 상토가 상토 공정규격을 충족하였기 때문에 이상의 연구 결과를 통해서 최적 조건으로 생산된 계분 바이오차는 상토 원료로 활용이 가능하다는 것을 확인하였다. 그러나, 계분 바이오차의 투입 수준과 작물에 따른 생육차이가 있어 농업적 활용 가능성을 개선할 수 있는 후속 연구가 필요하다고 판단된다.

Water-soluble substances like hydrogen fluoride, generated in semiconductor manufacturing, pose serious health and environmental risks, underscoring the need for effective capture devices. Vertical liquid capture devices help by aggregating and discharging hazardous substances with water, but their design can lead to backflow during abnormal operations, causing unintended releases and impacting efficiency and safety. This study seeks to improve a vertical liquid collection device’s containment performance by optimizing its geometry. The vertical wall was rotated at various angles and directions, and turbulent kinetic energy and streamline distribution were analyzed to assess vortex formation and flow characteristics. These structural modifications identify optimal conditions to control hazardous substance migration, offering insights for future pollutant removal device designs.

본 연구는 사과 ‘홍로’의 생육 시기별 품질 변화를 분석하여 숙기를 진단하기 위한 최적 수확 지표를 선정하고, 기계 수확 이 가능한 사과 ‘홍로’의 품질 기준을 설정하고자 수행되었다. 전라북도 완주군에 위치한 국립원예특작과학원에서 재배된 7년생 사과 ‘홍로’ 품종을 대상으로 2021년부터 2023년까지 만개 후 58－59일(6월 상순)부터 수확 시기가 지난 만개 후 164－173일(9월 하순)까지 10일 간격으로 과실 품질을 조사 하였다. 또한 완주군, 화성시, 포천시에서 수집된 품질 데이터 를 활용하여 지역별 ‘홍로’ 품질 변화를 분석하였다. 과중은 생육이 진전됨에 따라 증가하다가 수확기 직전 250－320g 범 위에 도달했다. 경도와 산도는 생육이 진전되면서 감소했고, 가용성 고형물 함량은 증가하다가 12－14°Brix 에서 더 이상 증가하지 않는 경향을 나타냈다. 또한 당산비는 생육이 진전 될수록 증가하여 수확기에는 50 이상으로 증가했다. 색도 L* 값과 b*값은 증가하다가 수확기에는 급격하게 감소했으며, a* 값은 수확기에 급격히 증가하였다. 전분 함량은 생육 후반부 에 급격히 감소하여 수확기에는 20mg·g-1 이하로 낮아졌다. 전분 함량과 과실 특성들 간의 상관분석을 한 결과, 경도와 산도가 각각 0.86과 0.84로 높은 상관성을 나타냈다. 따라서 경 도와 산도를 최적 수확 지표로 선정하였으며, 수확 가능 최소 품질 범위는 경도 39.7±6.4N, 산도 0.255±0.052%, 가용성 고 형물 함량 13.6±1.3°Brix, 색도 a*값 14.7±12.8로 설정하였 다. 이 기준과 함께 회귀 계수가 높은 비파괴 조사항목인 종경, 횡경, 색도a*값을 활용한다면 기계 수확뿐만 아니라 재배자 에게도 유용한 정보를 제공하여 수확 시기를 최적화시킬 수 있을 것으로 기대한다.

In this study, ultrasonic waves were combined with chemical cleaning to regenerate expensive membranes or solid filters. Nitric acid cleaning alone achieved a flux recovery rate of 68%, but when ultrasonic waves were applied simultaneously, the rate increased to 91%. Similarly, cleaning with HYDREX 4710, a membrane detergent, achieved a flux recovery rate of 76%, which improved to 95% when combined with ultrasonic waves. The operational lifespan of the membranes increased by 125 hours when ultrasonic waves were used in conjunction with cleaning agents compared to using an organic detergent alone. SEM and EDX analyses of unused membranes and membranes prior to chemical cleaning revealed significant adsorption of both organic and inorganic substances, such as aluminum (Al) and silicon (Si). These findings demonstrate that combining chemical cleaning with ultrasonic waves is a highly efficient method for membrane regeneration.

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.

This study focuses on the effectiveness of regional business support programs funded by South Korea's Balanced National Development Special Account, one of the policies designed to address regional imbalances and promote local autonomy. Using the analytical approach including DEA (Data Envelopment Analysis) methodology, This study analyzed the efficiency of 76 star companies in the Jeonbuk region based on their performance from 2018 to 2023. This study was designed to improve previous studies limitations, which only analyzed simple input-output efficiency in the short term, by using six years of mid-term data to comprehensively evaluate input variables in both R&D and Non-R&D sectors. The main purpose of this study is to analyze the effectiveness of the expiring Star Company Development Program by evaluating efficiency of supported company groups using DEA and to propose support models and policy suggestions for upcoming regional specialized industries support program by identifying the features of both optimal and inefficiency models. For this, employments along with financial indicators such as sales revenue, operating profit, and total assets were set as output variables, with R&D and non-R&D support amounts were set as input variables for analysis. According to the results, the optimal efficiency model group has strong intellectual property acquisition capabilities, and continuous R&D investment. It shows that continuous innovation activities are a key factor for improving the effectiveness of support. This study found that, from a mid․long term perspective, policy support programs should be customized by unique characteristics of each industry field, Based on this, it was suggested that upcoming regional specialized industry support programs in the Jeonbuk region should include policy planning and support program design to complement the weaknesses of each industry field.

자기공명영상 평가 시 정확한 영상평가를 방해하는 요인에는 여러 가지가 있다. 그중 측정자로 인한 관심 영역의 크기 설정도 여러 요인 중 하나인데, 아직 다른 요인에 비해 관심 영역의 크기 설정은 연구가 부족한 실정이다. 이에 본 연구에서는 관심 영역의 크기 변화에 따른 SNR의 변화를 통계적으로 비교·분석하여 설정하는 방법을 제시하고 그 유용성을 증명하고자 하였다. 연구 방법은 팬텀의 T1, T2 강조영상을 획득한 다음 획득한 영상에 관심 영역의 크기를 변화시켜 신호강도를 측정한 후 관심 영역의 크기 변화에 따른 SNR 산출하여 비교평가 하였다. 연구 결과 T1 강조영상은 관심 영역의 크기 설정 시 20% 이하, T2 강조영상은 40% 이하로 설정할 때 기준 관심 영역 크기와 SNR이 통계적으로 차이가 없었다. 결론적으로 관심 영역의 크기 설정 시 본 연구의 통계를 이용한 설정 방법을 적절히 활용하여 측정을 시행한다면 관심 영역 크기 설정의 합리적 근거를 마련할 수 있어 유용하리라 판단된다.

Automobiles are an essential means of transporting passengers and cargo, but traffic accidents are inevitable in their operation. These accidents can occur in various forms, such as front, rear, and side collisions. The resulting damage to the vehicle can also be seen similarly; it is inherently distinct: the complexity of repairing the car body makes a simple reliance on textbook knowledge insufficient. Successful correction of the damaged body largely depends on the experience of the practitioner. Discussions on body repair techniques should be based on empirical data reflecting current industry standards and associated costs. The variability of individual repair methodologies can result in significant time and financial expenditure in the field of automotive bodies. Application of new material technologies to vehicle fabrication requires continuous training and empirical research, especially on the body repair process involving new materials. In particular, since the left and right aprons and side members are made of different materials, such as aluminum and high-strength steel, careful restoration of these parts is required. Technical considerations are needed. Interest in safety and environmental impacts. In this study, SPR bonding technology analyzes experimental results.

The multi-local resonance metamaterial is based on the local resonance mechanism of resonators, effectively blocking wave propagation within multiple resonant frequency ranges, a phenomenon known as band gaps. In practical applications for vibration reduction, the goal is to achieve wide-band vibration attenuation at low frequencies. Therefore, this study aims to improve the vibration reduction performance of multi-local resonance metamaterials by lowering the band gap frequency and expanding the band gap width. To achieve this, an objective function was formulated in the optimization problem, considering both the frequency and width of the band gap, with the geometric shapes of the multiple local resonators selected as design variables. The Sequential Quadratic Programming (SQP) technique was employed for optimization. The results confirmed that the band gap was generated at lower frequencies and that the band gap width was expanded.

본 연구에서는 전하 이동 특성을 가지는 분자[쿠마린(C)-DNP]의 흡수 스펙트럼을 정확하게 예측하기 위해 장거 리 보정 밀도 범함수 이론 (long-range corrected density functional theory, LC-DFT)인 LC-BLYP의 범위 분리 매개변수 (μ)를 여러 가지 피팅 방법을 이용하여 최적화하였다. 기체 상태의 Koopmans 이론을 기반으로 최적화된 μ값은 실험적 흡수 피크에 비해 청색 이동(blue-shift)되는 경향성을, 반대로 용매 환경에서 최적화된 μ값은 과도하게 적색 이동 (red-shift)이 되는 경향성을 보였다. 반면, 실험적 데이터에 맞춰 조정된 μ값은 흡수 스펙트럼의 피크 위치와 세기를 가 장 고정확도로 재현하였으며, 특히 C-DNP와 C-OH 분자에서 나타나는 최대 흡수 피크 에너지의 차이를 잘 예측하였 다. C-DNP의 HOMO와 LUMO 전자 분포는 모든 μ값에서 일정한 모양(shape)을 가지고 있었으며, HOMO에서 LUMO 의 전이는 C에서 DNP로의 분자 내 전하 이동(Intramolecular Charge Transfer, ICT)임을 보였다.

Overloaded freight vehicles significantly contribute to road damage and increased maintenance costs, posing critical challenges for road management. This paper proposes an optimal decision-making methodology that incorporates the strategic behavior of road users into Weigh-In-Motion (WIM) enforcement strategies. The objective is to effectively derive optimal WIM installation locations while minimizing pavement maintenance costs and traffic congestion. The proposed framework consists of a bi-level optimization model. In the upper-level problem, decision-makers determine the optimal WIM installation locations within budget constraints. In the lower-level problem, drivers select routes to minimize their individual travel costs. The model integrates road management and travel costs to derive a balanced WIM installation strategy. Numerical experiments demonstrated that the proposed model identified WIM installation locations that effectively balanced the pavement management and travel costs. The results indicated that the proposed enforcement strategy can reduce pavement management costs while minimizing traffic congestion, thereby enhancing the overall efficiency of the transportation network. This paper provides a strategic foundation for reducing road damage and long-term maintenance costs by encouraging overloaded vehicles to comply with the legal weight limits. The proposed methodology serves as a practical guideline for WIM installation decision-making and policy development, contributing to the effective management of road networks.

The purpose of this study was to derive an optimal mix design for bridge deck pavements that can compensate for the limitations of latexmodified concrete (LMC). To address the limitations of LMC, this paper proposes the incorporation of silica fume into LMC. Concrete mixtures with varying ratios of latex and silica fume were prepared, and tests for compressive strength, flexural strength, and chloride-ion penetration resistance were conducted to compare and analyze the fundamental performance of each mix. Latex contributed to the improvement of the initial pore structure and significantly affected the chloride-ion penetration resistance in the early stages of curing. However, its influence gradually diminished over time. In contrast, silica fume induced additional C-S-H formation and further improved the pore structure through pozzolanic reactions as time progressed, thus exerting a greater impact in the later stages of curing. The L7-SF8 variable demonstrated the best performance in terms of compressive strength and chloride-ion penetration resistance. Given the characteristics of bridge-deck pavements, this variable is considered the most suitable for ensuring long-term durability. Therefore, this paper proposes a mixture of 7% latex and 8% silica fume as the optimal mix design.

This study investigates the risk reduction effect and identifies the optimal capacity of Multi-barrier Accident Coping Strategy (MACST) facilities for nuclear power plants (NPPs) under seismic hazard. The efficacy of MACST facilities in OPR1000 and APR1400 NPP systems is evaluated by utilizing the Improved Direct Quantification of Fault Tree with Monte Carlo Simulation (I-DQFM) method. The analysis encompasses a parametric study of the seismic capacity of two MACST facilities: the 1.0 MW large-capacity mobile generator and the mobile low-pressure pump. The results demonstrate that the optimal seismic capacity of MACST facilities for both NPP systems is 1.5g, which markedly reduces the probability of core damage. In particular, the core damage risk is reduced by approximately 23% for the OPR1000 system, with the core damage fragility reduced by approximately 72% at 1.0g seismic intensity. For the APR1400 system, the implementation of MACST is observed to reduce the core damage risk by approximately 17% and the core damage fragility by approximately 44% under the same conditions. These results emphasize the significance of integrating MACST facilities to enhance the resilience and safety of NPPs against seismic hazard scenarios, highlighting the necessity for continuous adaptation of safety strategies to address evolving natural threats.

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 addresses the challenge of optimizing officer assignments by reflecting the mutual preferences of both officers and units. Current officer assignments primarily rely on subjective judgments made during assignment committee meetings, often resulting in officers being placed in undesired positions or locations. This misalignment leads to reduced morale, decreased work efficiency, and even resignation. This issue has become more important at a time when the attrition of junior officers is accelerating. To address this issue, we propose an optimal assignment model that incorporates both officer and unit preferences, aiming to balance organizational needs with personal preferences. Additionally, it discusses methods to improve the mathematical model by considering various demands for practical application in the field, such as minimizing dissatisfaction and addressing the occurrence of preferred or undesirable units. These refinements resolve practical issues such as preventing undesirable unit assignments and managing multiple optimal solutions. Through this approach, the study seeks to deliver a more balanced and satisfying assignment system for officers while enhancing organizational efficiency.

본 논문에서는 15차 bézier 곡선을 사용하여 기존의 연구보다 더 유연한 빔 형상을 설계하고, 더 넓은 설계 공간에서 최적 설계를 수 행하여 최적의 열전도도를 갖는 빔 형상을 설계한다. 설계 공간이 넓어지면 그 만큼 계산양이 증가하게 되는데, 고차원 변수 공간에서 효율적으로 작동하는 인공신경망을 사용하여 최적 설계를 가속화하여 계산 한계를 극복하였다. 더 나아가 최적의 탄성계수를 갖는 빔의 형상과 비교하였으며 열전도와 탄성학 사이의 수학적 유사성을 이용하여 빔 형상을 설명한다. 본 연구에서는 인공지능을 활용 한 형상 최적설계를 통해 기존의 한계를 뛰어넘는 격자구조의 빔 형상을 제안한다. 먼저, SC(Simple Cubic), BC(Body Centered Cubic) 격자 구조 빔 형상을 bézier 곡선으로 모델링하고 bézier 곡선의 제어점 좌표를 무작위로 설정하여 학습데이터를 확보하였다. NN(Neural Network) 및 GA(Genetic Algorithm)를 통해 우수한 유효 열전도도를 가진 빔 형상을 생성하여 최적의 빔 형상을 설계하였 다. 본 연구를 통해 추후 다양한 열 조건에서 격자구조의 적절한 구조적 해답을 제시할 수 있을 것으로 기대된다.

PURPOSES : In this study, the existence of an optimal pattern among transition methods applied during changes in traffic signal timing was investigated. We aimed to develop this pattern into an artificial intelligence reinforcement-learning model to assess its effectiveness METHODS : By developing various traffic signal transition scenarios and considering 19 different traffic signal transition situations that can be applied to these scenarios, a simulation analysis was performed to identify patterns through statistical analysis. Subsequently, a reinforcement-learning model was developed to select an optimal transition time model suitable for various traffic conditions. This model was then tested by simulating a virtual experimental center environment and conducting performance comparison evaluations on a daily basis. RESULTS : The results indicated that when the change in the traffic signal cycle length was less than 50% in the negative direction, the subtraction method was efficient. In cases where the transition was less than 15% in the positive direction, the proposed center method for traffic signal transition was found to be advantageous. By applying the proposed optimal transition model selection, we observed that the transition time decreased by approximately 70%. CONCLUSIONS : The findings of this study provide guidance for the next level of traffic signal transitions. The importance of traffic signal transition will increase in future AI-based traffic signal control methods, requiring ongoing research in this field.