Due to cognitive differences, traditional perceptual engineering (KE) frequently relies too heavily on designers' experience in analyzing customers' emotional demands, which can result in product designs that deviate from users' expectations. This work suggests a thorough evaluation approach that combines the particle swarm optimization-support vector regression (PSO-SVR) model and perceptual engineering to increase the scientificity and precision of design choices. The approach first determines the subjective weights of users' emotional needs using spherical fuzzy hierarchical analysis (SFAHP). Next, it uses the entropy weighting method to determine the objective weights. Finally, it combines the subjective and objective data using game theory to produce a more rational evaluation system. Finally, the emotional prediction model based on PSO-SVR is constructed to realize the accurate mapping between emotional needs and design features. The empirical study shows that“speed”, “dynamic”and“luxury” are the core emotional demands of users, and the algorithm's prediction results are highly consistent with users' actual evaluations, which strongly verifies the accuracy of the model. Compared with the traditional KE method, the model better integrates subjective experience and objective data and provides more practical support for the design of flybridge yachts.

In the context of increasingly uncertain maritime logistics environments, container Demurrage and Detention (D&D) charges pose a significant challenge to both carriers and shippers. Traditional policies typically impose separate cost structures for container pickup (demurrage) and container return (detention), yet such separate impositions often fail to capture the interconnected nature of operational delays and the pervasive uncertainty present in hinterland container flows. This study addresses the problem of D&D decision-making under uncertainty by proposing a merged free time policy that integrates both D&D charges into a unified framework. By merging the free time allocated for both pickup and return processes, the proposed policy aims to enhance operational flexibility, reduce overall logistics costs, and provide a more predictable cost structure for carriers while improving service quality for shippers. To achieve these objectives, we develop a mathematical optimization model that incorporates stochastic pickup and return scenarios, thereby reflecting the uncertainties in container availability and transportation delays. The model embeds a strategic decision-making process between carriers and shippers through a hierarchical framework to jointly optimize free time allocations and penalty structures. Numerical experiments based on simulated data demonstrate that the merged free time policy outperforms traditional separate policies by improving container turnover efficiency and mitigating the negative impact of uncertainty on operational performance. Our findings offer valuable insights into cost management and risk reduction in maritime logistics and contribute to the literature by providing a comprehensive strategy for D&D management that supports more collaborative hinterland container operations and enhances overall supply chain resilience.

Phellinus linteus, a medicinal mushroom with potent antioxidant properties, contains bioactive compounds, such as polyphenols and flavonoids. To optimize the extraction of skin-whitening compounds, ultrasound-assisted extraction combined with statistically based optimization was used to simultaneously extract total polyphenol content (TPC), radical scavenging activity (RSA), and tyrosinase activity inhibition (TAI). Extraction variables, including extraction time (X1:4.8 ~ 55.2 min), extraction temperature (X2:26.4 ~ 93.6oC), and ethanol concentration (X3:13.0 ~ 97.0%), were varied in 17 experimental cycles based on a central composite design. Quadratic regression models for TPC, RSA, and TAI had coefficients of determination (R2) greater than 0.92, demonstrating well-fitted models and statistical significance. Analysis of variance revealed that all three variables significantly influenced extraction efficiency (p < 0.0041), with ethanol concentration (X3) having the most pronounced effect. The optimal extraction conditions were 80.0 min, 82.5oC, and 64.8% ethanol, yielding predicted values of 6.42 mg GAE/g DM for TPC, 73.71% for RSA, and 85.04% for TAI. These results suggest that a moderate ethanol concentration combined with adequate thermal input maximizes the extraction of antioxidant and tyrosinase inhibitory activities specifically associated with skin-whitening effects.

최근 지구온난화로 인한 피해가 심각해짐에 따라 화석연료 사용을 줄이고자 친환경 수소 에너지의 활용이 증가하고 있다. 이에 따라 수소의 저장 및 운송을 위한 수소 저장 용기의 수요가 확대되고 있으나, 현재 널리 사용되고 있는 강재 기반 저장 용기는 부식과 같은 내구성 저하 현상에 취약하다. 따라서 선행 연구는 지지부 부식에 따른 내진 성능 저하 문제를 해결하기 위해 부식 저항성 이 뛰어난 CFRP를 지지부 기둥을 적용하여 설계 하중에서 적용성을 검토하였다. 이때 본 연구는 CFRP의 강도-중량비가 높음을 고려 하여 기존 강재 구조물 지지부 ㄱ 단면 대비 높은 강성을 가진 H 단면과 ㅁ 단면을 지지부 기둥에 적용하여 연구를 수행하였다. 이때 실제와 가까운 해석 결과를 도출하기 위해 고유진동수 추출해석을 진행하여 감쇠 계수를 적용 시켰고, AC 156 인공 지진을 설계 하중 으로 적용한 결과, ㅁ 단면을 적용한 강재 기둥의 접합부 응력은 222.34 MPa로 기존 ㄱ 형강 대비 78.93%로 설계 하중에 만족함을 보였다. ㅁ 단면 적용 CFRP 기둥은 파손 지수(DI)를 통해 평가하였고, 이때 최대 DI는 수지 인장에서 발생하였으며, 그 값은 0.708로 파괴 기준 대비 29.2% 낮아 설계 하중에 만족함을 보였다. 또한, 기초 슬래브에서 쪼갬 인장 응력과 휨 인장 응력을 통한 평가를 진행 하였고, 현장 실험 결과와 마찬가지로 설계 하중에 휨 인장 파괴가 발생하는 것으로 확인하였다. 하지만 파단 시점은 CFRP에서 1.54배 오래 설계 하중에 견디는 것을 확인하여, 그 적용성을 확인하였다. 결론적으로 지진의 발생 빈도가 높아짐에 따라 수소 저장 용기의 안전성 확보가 시급하다. 따라서 기존 강재 대상 구조물의 부식으로 인한 강성 저하 문제를 해결하기 위해, 높은 내구성 및 부식 저항성 재료의 적용은 필수적이다. 동시에 기초 슬래브의 안전성 확보에 대한 연구가 추가적으로 수행되어야 한다.

Microalgae are efficient fatty acid producers owing to their high photosynthetic activities. They can act as sources of biofuel, feed, and various bioactive compounds. This study aimed to determine optimal culture conditions, including culture medium, temperature, and light intensity, to enhance the biomass and fatty acid content of the indigenous freshwater microalga, Tetradesmus obliquus. Evaluation using a high-throughput photobioreactor revealed that the optimal culture temperature and light intensity were 25°C and 300 μmol m-2 s-1, respectively. Additionally, we optimized components (N, P, and Mg) of the BG-11 medium to enhance the microalgal biomass. Modified BG-11 medium increased the T. obliquus biomass by 37% compared to the standard BG-11 medium. Subsequently, the culture medium was replaced with N- and P-depleted media to determine the abiotic stress factor that could increase the cellular fatty acid content. Notably, fatty acid content was significantly increased from 8.5% up to 14.6% on day 7 of culture in N-deficient (N-P+ and N-P-) media. Sequential optimization effectively increased the biomass by 83% and fatty acid content by >76% in T. obliquus. Our optimization method can be used to enhance the biomass and fatty acid contents of various other microalgae.

This study analyzes the aerodynamic and structural characteristics of an H-Darrieus vertical-axis wind turbine (VAWT) under varying inlet velocities using transient analysis. The k-ε turbulence model and six-DOF were applied to simulate urban environments in the flow analysis, while the structural analysis considered blade momentum of inertia and RPM conditions. The numerical results showed that the drag and lift forces increased by 60% and 53% respectively from the nominal wind speed to the cut-off wind speed conditions. Structural analysis indicated that the maximum Von-Mises stress in the blade did not exceed the yield strength of 69 MPa of PC-ABS, ensuring structural stability. However, the connecting rod exceeded the yield strength of SPCC 270 MPa, suggesting potential failure due to repeated rotational loads. This study confirms that materials with a yield strength of more than 1,100 MPa required for connecting rods to ensure reliable operation at high wind speed. These findings provide important insights for the design of robust VAWTs suitable for extreme environments.

최근 농촌 인구 감소와 고령화로 노동력 부족 현상이 심화 되면서 농민들이 인력을 확보하는 데 어려움을 겪고 있다. 기 존의 노지 벼 육묘는 많은 공간과 노동력을 요구하며, 어린 묘 의 품질 관리가 어려운 문제가 있다. 본 연구에서는 컨테이너 형 수직농장을 활용하여 벼 육묘일수를 줄이고, 광 및 양액의 처리에 따른 생육 효과를 확인하였다. ‘고시히카리’와 ‘참드 림’ 두 품종의 벼를 지하수와 희석된 양액을 사용하여 각각 160와 355μmol·m-2·s-1의 광도에서 10일간 컨테이너형 수직 농장에서 재배하였다. 벼 육묘 결과, 모든 품종에서 10일 만에 이앙 가능한 초장을 확보할 수 있었으며, 양액을 처리하지 않 는 저광도에서 경제적 운영이 가능함을 확인하였다. 뿐만 아 니라 육묘된 벼는 순화과정에 문제가 없고, 본답 정식 이후에 도 기존 노지육묘와 생산성이 유사한 것을 확인하였다. 경제 성 분석을 통해 육묘판 생산 시 컨테이너형 수직농장 2동 이상 있을 경우 기존 노지육묘보다 비용 절감이 있음을 확인하였 다. 따라서 컨테이너형 수직농장을 활용한 벼 육묘는 비용 절 감과 노동력 부족 문제 해결에 기여할 수 있는 효과적인 대안 이 될 것으로 기대된다.

Efficient and safe maritime navigation in complex and congested coastal regions requires advanced route optimization methods that surpass the limitations of traditional shortest-path algorithms. This study applies Deep Q-Network (DQN) and Proximal Policy Optimization (PPO) reinforcement learning (RL) algorithms to generate and refine optimal ship routes in East Asian waters, focusing on passages from Shanghai to Busan and Ulsan to Daesan. Operating within a grid-based representation of the marine environment and considering constraints such as restricted areas and Traffic Separation Schemes (TSS), both DQN and PPO learn policies prioritizing safety and operational efficiency. Comparative analyses with actual vessel routes demonstrate that RL-based methods yield shorter and safer paths. Among these methods, PPO outperforms DQN, providing more stable and coherent routes. Post-processing with the Douglas-Peucker (DP) algorithm further simplifies the paths for practical navigational use. The findings underscore the potential of RL in enhancing navigational safety, reducing travel distance, and advancing autonomous ship navigation technologies.

Lightweighting is crucial in various industries, especially for bicycles where weight and stiffness are key. Traditional materials like steel, aluminum, and carbon each have pros and cons. This study compares hybrid tubes made of aluminum and carbon composites with conventional aluminum tubes. Using structural analysis and experimental testing, the hybrid tubes showed a weight reduction of up to 17.25% and maintained acceptable deformation levels. Finite element analysis confirmed these findings, demonstrating the hybrid tubes' potential as superior bicycle frame materials. Future research should focus on long-term durability and fatigue characteristics.

This study aims to optimize the SDC (Spinning Dust Collector) system in amphibious assault vehicle engines through numerical analysis of dust and moisture particle separation efficiency using CFD-DPM. Focusing on an axial cyclone structure, the research evaluates separation efficiency across various particle sizes and flow conditions. The results demonstrate that vortices generated by cyclone blades play a critical role in influencing particle trajectories and improving separation performance. Additionally, the study highlights the significant impact of engine flow conditions and housing design, emphasizing that their careful optimization enhances the system's efficiency in separating dust and water. These findings offer valuable insights into optimizing inlet and outlet flow paths and cyclone housing design, providing a solid foundation for advancing SDC system performance in high-efficiency engines.

The Grifola frondosa cultivar KMCC03118 was used to isolate monokaryotic strains via spore separation, resulting in the successful crossbreeding of strains KMCC03118-11 and KMCC03118-23, which produced F1 hybrids. These F1 hybrids were then further crossed with various monokaryotic strains to generate F2 progeny. In evaluating the effects of different medium compositions on fruit body development, it was found that a substrate consisting of wheat bran and dried sawdust, with a carbon-to-nitrogen (C/N) ratio of 66-68, provided the most favorable conditions for mycelial growth. Among the strains tested, KMCC03137 and GF-18-50 demonstrated superior characteristics, including a larger fruit body diameter, thicker pileus, and greater stipe thickness, with the highest productivity observed at 143.6 ± 13.3 g and 144.7 ± 15.2 g, respectively. Furthermore, the color of the caps (L: 29.7 ± 7.1, a: 2.6 ± 0.7, b: 8.2 ± 1.8) remained consistent, indicating stable high-quality production. Based on these results, the optimal substrate composition for enhancing both the quality and productivity of the fruit bodies was determined to be 42% Quercus sp. sawdust, 42% Quercus sp. fermented sawdust, 6% wheat bran, and 10% dried tofu residue. This study provides a crucial foundation for the commercial cultivation and breeding improvement of Grifola frondosa, offering valuable insights into its genetic enhancement, and providing essential data for future research aimed at increasing the species' genetic diversity and productivity.