As environmental concerns escalate, the increase in recycling of aluminum scrap is notable within the aluminum alloy production sector. Precise control of essential components such as Al, Cu, and Si is crucial in aluminum alloy production. However, recycled metal products comprise various metal components, leading to inherent uncertainty in component concentrations. Thus, meticulous determination of input quantities of recycled metal products is necessary to adjust the composition ratio of components. This study proposes a stable input determination heuristic algorithm considering the uncertainty arising from utilizing recycled metal products. The objective is to minimize total costs while satisfying the desired component ratio in aluminum manufacturing processes. The proposed algorithm is designed to handle increased complexity due to introduced uncertainty. Validation of the proposed heuristic algorithm's effectiveness is conducted by comparing its performance with an algorithm mimicking the input determination method used in the field. The proposed heuristic algorithm demonstrates superior results compared to the field-mimicking algorithm and is anticipated to serve as a useful tool for decision-making in realistic scenarios.

In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

The main purpose of this study is to analyse economic feasibility of low-carbon-oriented gear for anchovy boat seine. The results of benefit/cost analysis showed that use of the low-carbon fishing gear is economically feasible. Considering the fuel saving and relatively low CO2 emission by reducing the resistance of gear, net present value by such type 1 gear improvement was estimated about -2,490 ~ -1,580 million won with the benefit-cost ratio 0.81~ 0.88. And net present value by such type 2 gear improvement was estimated about 6,540 ~ 7,780 million won with the benefit-cost ratio 1.79 ~ 1.94. Development of lowcarbon trawl gear would render significant contributions to reducing CO2 emission in fishing operations and lead to reduce fishing costs due to fuel savings.

Fuel consumption in fisheries is a primary concern due to environmental effects and costs to fishermen. Much research has been carried out to reduce the fuel consumption related to fishing operations. The fuel consumption of fishing gear during fishing operation is generally related to hydrodynamic resistance on the gear. This research demonstrates a new approach using numerical methods to reduce fuel consumption. The results from the simulation were verified with results that mirrored the model experiments. By designing the fishing gear using drawing software, the whole and partial resistance force on the gear can be calculated as a result of simulations. The simulation results will suggest suitable materials or gear structure for reducing the hydrodynamic forces on the gear while maintaining the performance of the gear. Furthermore, the efficiency of low energy used anchovy dragnet as economic point of view will be dealt. This research will helpful to reduce the GHG emissions from fishing operations and lead to reduce fishing costs due to fuel savings.

The main purpose of this study is to analyse economic feasibility of low-carbon-oriented trawl gear. The results of benefit/cost analysis showed that use of the low-carbon fishing gear is economically feasible. Considering the fuel saving and relatively low CO2 emission by reducing the resistance of gear, net present value by such gear improvement was estimated about 2,430~2,853 million won with the benefit-cost ratio 1.65~1.84 and the internal rate of return 29.18~30.48 percent. Development of low-carbon trawl gear would render significant contributions to reducing CO2 emission in fishing operations and lead to reduce fishing costs due to fuel savings.

Dynamic Positioning (DP) is used to automatically maintain the position and heading of a floating structure subjected to environmental disturbances. A DP control system is composed of a motion controller to compute the desired force and moment and a thrust allocator to distribute the computed force and moment to multiple thrusters considering mechanical and operational constraints. Among various thruster configurations, azimuth thrusters or propeller/rudder pairs tend to make the allocation problem difficult to solve, because these types of propulsion systems include nonlinear constraints. In this paper, a dynamic positioning strategy for a twin-thruster ship that is propelled by two azimuthing thrusters is addressed, and a thrust allocation method which does not require a numerical optimization solver is proposed. The applicability of the proposed method is demonstrated with an experiment using an autonomous boat.

본 연구는 오디씨 에탄올 추출물(MSE)의 멜라닌 합성 저해 효과를 밝히는 것이다. 먼저 MSE의 mel-an-a 세포를 이용한 멜라닌 합성 저해 실험결과, 독성을 보이지 않는 10 µg/mL의 농도까지 멜라닌 합성 저해 효과를 나타내었다. 또한 tyrosinase, tyrosinase-related protein-1 (TRP-1) 단백질의 발현이 저해되었으며, extracelluar signal-regulated protein kinase (ERK)의 발현을 농도 의존적으로 증가시키는 MSE의 기전을 확인하였다. 뿐만 아니라, 제브라피쉬를 이용한 in vivo 모델의 실험에서도 색소 발생이 저해됨을 관찰하였다. 따라서 오디씨로 부터 획득한 에탄올 추출물이 ERK 단백질의 발현으로 인해 멜라닌 생합성을 억제할 수 있음을 밝혔다.

현재 북한의 권력승계로 인한 과도기적 상황에서 남북한 전쟁에 대한 위기감은 증가하고 있으나 민방위사태 발생시 이용가능한 임시거주공간은 민방위기본법에 의해 진압시까지 앉은 상태로 대피기능을 하는 지하 비상대피시설로 규정되어 있는 실정이다. 그러나 전쟁대응 임시거주공간은 이재민 주거시설 마련을 위한 2주 이상의 기간동안 대피공간 및 거주기능을 수행해야하므로 거주성 확보와 심신적 안정을 위한 최소주거기준과 주거환경계획기준 설정방향을 모색하고자 한다. 이에 본 연구는 재해유형에 따른 법적, 문헌적 기준 현황과 국외법을 비교·분석함으로써 최소면적기준과 부대시설, 거주성능에 대한 적용 가능성을 검토해 보고 세부기준 마련을 위해 건축관계 법령과의 연계성을 살펴보았다. 이를 위해 전쟁대응 임시거주공간에 대한 개념과 필요성에 대해 살펴보고, 국내외(한국, 일본, 미국) 주거관련 법적 기준과 민방위기본법에 따른 비상대피시설, 재해구호법에 따른 임시주거시설 지침을 대상으로 주거기준 분석을 통하여 다음과 같은 공간계획기준을 제시하였다. 먼저, 최소면적 기준에 대해서는 각국의 지침이 재해유형과 인체특성상 차이가 있고 지하공간은 한정된 부분이 있으므로 거주를 고려한 현행 임시주거시설 지침을 반영하여 2.0-3.3㎡/인과 별도의 공용면적을 산정하였다. 또한 주거환경 계획기준은 부대시설과 거주성능 항목으로 분류하고 적용가능성을 검토해 보았으나 다수의 지침이 필요 항목만 명기되어 있으므로 건축관계 법령을 고려하여 인간의 기본생활욕구를 충족시키는 기준을 마련하고자 하였다.

도시 아파트의 발코니와 빌딩옥상에서 상추, 래디시, 미니배추 등의 채소를 재배하여 비타민 C와 총페놀성 화합물 함량을 측정하였으며, 항산화활성을 재배장소별로 비교하였다. 아파트의 남향 발코니에서 재배한 채소는 외부 환경에 노출된 옥상 재배와 비슷한 생육정도를 보였으나, 일조량이 부족한 동향 발코니 재배 채소는 크기는 작으나 조직이 연해 샐러드용으로 활용하기에 적합한 것으로 나타났다. 남향 발코니에서 30일 재배한 상추와 래디시의 비타민 C 함량은 각각 18.0 mg%과 27.9 mg%로서, 동향 발코니와 옥상 재배 채소보다 높게 나타났으나, 총페놀성 화합물 함량과 항산화활성은 옥상재배 채소보다 낮은 것으로 나타났다. 그러나 발코니에서 재배한 채소는 수확 후 바로 섭취함으로서 저장 및 유통에 따른 항산화물질의 손실을 줄일 수 있을 것이며, 발코니 공간은 봄부터 가을철 까지 다양한 채소를 재배할 수 있는 채소밭으로 활용 가능함을 확인하였다. 따라서 도시 아파트의 발코니에서 기능성 식용식물을 재배한다면 관상효과와 더불어 매일 신선한 무공해 채소를 공급하게 될 것이며, 본 연구 결과는 발코니 채소밭 보급을 위한 기초자료로 활용될 수 있을 것이다.