In contemporary global warfare, the significance and imperative of air transportation have been steadily growing. Nevertheless, the Korean Air Force currently operates only with small and medium-sized military cargo planes, lacking larger aircraft. Consequently, the efficiency of their operations is constrained by the limited air transport capacity and the aging of their existing fleet, among other factors. Therefore, we have to consider to make future air transportation capability. Although the 2nd large-sized cargo-plane acquisition project is ongoing, its quantity is very small. In this study, we propose an optimal prediction model that takes into account practical constraints such as parking space availability, pilot availability, wartime daily maximum loads, while simultaneously maximizing both the effectiveness and efficiency of transport capacity for future warfare envirionment.

Amphibious operations represent a pivotal military maneuver involving the transfer of landing forces via ships, boats, and aircraft from sea to land. The success of such operations can be the decisive factor in the outcome of a war. Nevertheless, planning an amphibious assault is an intricate and formidable task, demanding careful consideration of numerous variables. This complexity is particularly evident in the formulation of loading plans for troops and equipment onto naval vessels. Historical accounts underscore the profound repercussions of errors in planning and loading on the execution of these operations. In pursuit of efficient loading procedures characterized by precision and time-effectiveness, our study has delved into the realm of optimization modeling. Employing a mixed-integer mathematical programming approach, this optimization model offers a valuable tool to streamline and enhance the preparatory phase of amphibious operations.

The automotive industry continuously strives to enhance safety for both drivers and passengers through technological advancements. Car side impacts have the potential to significant risks to passengers, So the automotive industry has proposed various technological solutions. As part of these efforts, the development of side impact beams, which are affixed to the inner frame of vehicle side doors to absorb and dissipate collision energy, has been a safety enhancement. Conventional side impact beams are manufactured using hot-rolled steel sheets and have a pipe-like configuration. However, these impact beams are fixed to the vehicle's chassis, which directly transfers the energy generated during a collision to the chassis frame. This paper aims to address this issue by proposing the development and optimization of vehicle door impact beams using a dual-beam structure and fastening method, utilizing shear bolts. Moreover, the focus is on optimizing the cross-sectional shape of the dual-beam impact structure. The evaluation criterion for optimization is based on the second moment of area of the cross-section. To validate these improvements, Static experiments were conducted, comparing the proposed dual-beam structure with the traditional impact beam. This research is expected to serve as a guideline for enhancing vehicle safety through design directions and validation methods.

Injection molding is a process of shaping resin materials by heating them to a temperature above their melting point and then using a mold. The resin material is injected into and cooled within the mold cavity, solidifying into the desired shape. The core and cavity components that make up the mold cavity are crucial elements for the precision molding in injection molding. In the case of precision mold production, the application of 5-axis machining technology is required to ensure high machining quality for complex shapes, and among these factors, the tool angle is a critical machining condition that determines the surface roughness of the workpiece. In this study, we aim to measure the surface roughness of the machined surface of KP4A specimens during machining processes with variations in the tool angle and analyze the correlation between the tool angle and surface roughness.

ars using diesel have always had problems with reducing exhaust fumes, and have been studied steadily in this regard. There were studies on the remanufacturing effect of DOC catalyst deactivated by diesel vehicle smoke reduction device, analysis of vehicle fire accident cases caused by damage to diesel vehicle smoke reduction device, and related studies on the remanufacturing effect of diesel vehicle smoke reduction device DPF. This study also developed an optimized system for complete combustion of smoke generated by institutions using diesel engines in low-temperature exhaust gases. The main systems to be developed are high-performance heaters, burner structures that can maintain ignition in exhaust flows, and exhaust flow control units that reduce exhaust gas backflow effects caused by diesel engines.

해양산업시설에서는 많은 종류의 유해물질의 배출 가능성이 존재하기 때문에 이에 대한 체계적인 대응체계가 필요하다. 그 중 연속자동 측정이 가능하면서 ppb 수준의 낮은 검출하한 (limit of detection:LOD)를 갖는 센서 구현은 매우 중요하다. 이를 위해 본 연구에서 는 활성탄소(carbon black)와 Indium tin oxide (ITO) 나노입자를 혼합한 film의 표면저항의 변화를 이용한 고성능 센서 제안 및 구현을 위해 성능인자를 최적화하였다. 센서 구조는 접촉 면적과 전극 간격을 최적화하였다. 접촉 면적이 증가하면 감도, LOD 성능이 향상되었으며 60 mm2에서 최적화되었다. 또한, 전극 간격은 접촉 면적을 일정하게 유지한 상태에서 변화시켰으며 센서 응답은 전극 간격이 감소함에 따라 증가하는 것을 확인하였다. 마지막으로 센서 표면에서의 유해물질의 잔류시간 증가를 위해 화학흡착제를 적용하였다. 화학흡착제는 유해 물질을 선택적으로 흡수할 수 있는 polyester계를 선택하였다. 그 결과 농도가 증가함에 따라 응답이 선형적으로 증가하여 센서로 활용이 가능한 것을 확인하였다. 이러한 3가지의 방법을 통해 센서를 제작하였을 때 액상 유해물질을 기존 센서의 LOD(89.9 ppb)와 비교 10~40 ppb 정도의 낮은 농도를 검출할 수 있는 센서를 구현하였다.

프로바이오틱스 제품에 대한 수요가 지속적으로 증가하 고 있으며, Lactobacillus 균주가 가장 대중적인 프로바이 오틱스로 널리 사용되고 있다. 프로바이오틱스는 기준에 적합한 균수의 확보가 중요하며 제조원가나 시간 등을 낮 추기 위해 배양법의 개발이 필요하므로 Lactobacillus 생 산을 위한 배양 조건이 최적화되었다. 반응표면방법론에 의한 통계적 최적화에서 반응 변수에 영향을 미치는 독립 변수의 최적 조건은 Lactobacillus acidophilus의 경우 22.55 시간(배양시간), 25oC(배양온도), 3.41%(프리바이오틱스 농 도); Lactiplantibacillus plantarum의 경우 24시간, 30.86oC, 2.00%; Lacticaseibacillus rhamnosus의 경우 66.67시간, 35oC, 3.41%이었다. Lactobacillus의 최적 배양조건은 예측 한 결과와 실제 결과가 밀접하게 일치하는 것을 확인하였 다. 이러한 데이터는 수율 높은 Lactobacillus를 생산하는 데 중요한 포인트를 제공할 것이다.

PURPOSES : A model for minimizing cutting loss and determining the optimum layout of blocks in pavements was developed in this study. METHODS : Based on literature review, a model which included constraints such as the amount, volume, overlap, and pattern, was developed to minimize the cutting loss in an irregular pavement shape. The Stach bond, stretcher bond, and herringbone patterns were used in this model. The harmony search and particle swarm algorithms were then used to solve this model. RESULTS : Based on the results of the model and algorithms, the harmony search algorithm yielded better results because of its fast computation time. Moreover, compared to the sample pavement area, it reduced the cutting loss by 20.91%. CONCLUSIONS : The model and algorithms successfully optimized the layout of the pavement and they have potential applications in industries, such as tiling, panels, and textiles.

In a steam turbine system for nuclear power plant, the exhaust loss consists of leaving loss, hood loss, turn-up loss and restriction loss. The exhaust loss during rated power operation of steam turbine equipment is inevitable, but it can be optimized by several factors such as last stage blade length, condenser vacuum and steam velocity. In this paper the relationship between the exhaust loss and electrical output of domestic nuclear power plants was quantitatively evaluated, and ways to reduce this loss were considered.

본 연구에서는 공정 간소화, 균일한 나노 입자 형성, 백금 저감 및 활용도를 높이기 위하여 원자층 증착법 (Atomic Layer Deposition, ALD)을 통하여 양이온 교환막 연료전지용 촉매를 제조하고 증착 온도에 따른 백금 입자 형성 거동 을 확인하였다. 증착 온도는 250 °C, 300 °C, 350 °C로 조절하여 백금 촉매를 형성하였으며 각 각의 촉매의 증착 양 상을 확인하기 위하여 Thermogravimetric analysis, X-ray diffraction 및 Transmission electron microscopy를 도입하여 담지량, 백금 입자 분포, 크기 및 결정구조 등을 확인하였다. 합성된 백금 촉매를 연료전지에 적용하기 위해서 Cyclic Voltammetry 기법을 통해서 전기화학적 활성 표면적를 구하고, Membrane Electrode Assembly 셀을 제작하여 전지 특성을 확보하였다. 최종적으로, 백금 촉매 제조 시 ALD 증착 온도는 300 °C 이하에서 합성해야 됨을 밝혀냈으며, ALD으로 제작된 백금 촉매가 기존 습식 촉매보다 더 우수한 특성을 보임을 확인하였다. 해당 연구는 ALD을 통하여 다양한 접근법으로 촉매를 제조할 시, 기본적인 ALD 공정 정보 및 ALD 촉매 합성 방향성을 제공할 수 있다.

In probiotics production, lactic acid bacteria (LAB) are cultured on a large scale to achieve efficient processing through fermentation optimization and scale-up. In this Current study, the LAB strain Lactiplantibacillus plantarum WiKim0125 was isolated from kimchi and optimized the production. The optimization strategy for cultivating L. plantarum WiKim0125 consisted of investigating media components, selecting physiochemical conditions to enhance productivity, and scaling up for pilot-scale production. Each process condition was evaluated based on substrate consumption, lactic acid production, and viable cell yield. As a result, the final viable cell and lactic acid yield of L. plantarum WiKim0125 increased by 38.6% and 19.4%, respectively. This study provides an overview of fermentation optimization and scale-up processes for the industrial application of L. plantarum WiKim0125.

This paper studied the problem of determining the optimal inventory level to meet the customer service target level in a situation where the customer demand for each branch of a nationwide retailer is uncertain. To this end, ISR (In-Stock Ratio) was defined as a key management indicator (KPI) that can be used from the perspective of a nationwide retailer such as Samsung, LG, or Apple that sells goods at branches nationwide. An optimization model was established to allow the retailer to minimize the total amount of inventory held at each branch while meeting the customer service target level defined as the average ISR. This paper proves that there is always an optimal solution in the model and expresses the optimal solution in a generalized form using the Karush-Kuhn-Tucker condition regardless of the shape of the probability distribution of customer demand. In addition, this paper studied the case where customer demand follows a specific probability distribution such as a normal distribution, and an expression representing the optimal inventory level for this case was derived.

복부 MRI 검사에서 높은 수준의 병렬기법을 적용 시 영상의 질을 떨어뜨리는 둘러겹침인공물을 빈번히 생성한다. 이것 은 구조물이 겹쳐서 나타나는 현상으로 복부 인체 구조상 양쪽 팔이 맞닿아 있어서 FOV를 벗어난 양쪽 팔이 영상의 반대 방향 인공물을 발생하는 문제를 초래한다. 이러한 제한점으로 복부 MRI 검사에서는 두경부 및 근골격 검사 부위와 비교하 여 낮은 수준의 병렬기법을 적용하여 검사 시간을 증가시키는 문제가 있다. 이에 본 연구에서는 팔을 위로 올리는 자세를 활용하여 환자의 간단한 자세의 변화를 통하여 병렬기법을 극대화하여 검사 시간을 최소화하면서 영상의 인공물을 제거하 는 데 목적을 두었다. T2, T1 강조 영상을 관상면으로 획득하였다. 연구의 재현성을 높이기 위하여 작은 팬텀을 나란히 놓고(팔 내리는 자세), 한번은 작은 팬텀을 제거하고 영상을 (팔 올리는 자세) 각각 병렬기법인 SENSE 가속인자를 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0까지 10번씩 획득한 후 영상의 불균일도를 측정하였다. 팬텀으로 확인하기 어려운 인체 부위 의 영상을 확인하기 위하여 정상인 자원자 1명을 대상으로 팬텀 연구와 같은 매개변수 조건으로 영상을 획득하였다. SENSE 가속인자가 높아질수록 팔을 올리는 자세에서 영상의 불균일도가 낮게 측정이 되었고 통계학적으로 유의하게 나타 났다. 본 연구는 간단한 자세 변화만으로 병렬기법을 극대화하며 영상획득 시간 단축 및 인공물을 개선방안을 제시하는 데 의의가 있다.

Microbial proteases are more economical than plant- and animal-derived proteases due to their ease of production and high activity. This study aimed to optimize the production of proteases from fermentative food-derived microorganisms. Five strains with proteolytic activity among 50 Bacillus sp. were first screened. Two strains with high protease activity were identified: Bacillus amyloliquefaciens SRCM 102139 and Bacillus subtilis SRCM 104999. SRCM 102139 strain and SRCM 104999 strain had the highest protease activity in 0.8% glucose and 0.3% yeast extract, and in 0.8% starch and 0.1% soy peptone, respectively. The production of protease for two strains was optimized by the Central Composite Design (CCD) under response surface methodology. The optimal conditions for protease production in SRCM 102139 were 0.5% and 0.347%, pH 6.0, for carbon (glucose) and nitrogen (yeast extract springer 0202) sources, respectively, with a predicted value of 0.929 U/mL. Additionally, the optimal conditions for protease production in SRCM 104999 were 0.5% and 0.5%, pH 6.7, for carbon (starch) and nitrogen (soy peptone HSP-349) sources, respectively, with a predicted value of 0.431 U/mL. The actual protease activities of SRCM 102139 and SRCM 104999 under the established conditions were 0.926 U/mL and 0.428 U/mL, respectively, closely matching the predicted values.