This study investigates the effect of the microstructure of Li1.3Al0.3Ti1.7(PO4)3 (LATP), a solid electrolyte, on its ionic conductivity. Solid electrolytes, a key component in electrochemical energy storage devices such as batteries, differ from traditional liquid electrolytes by utilizing solid-state ionic conductors. LATP, characterized by its NASICON structure, facilitates rapid lithium-ion movement and exhibits relatively high ionic conductivity, chemical stability, and good electrochemical compatibility. In this study, the microstructure and ionic conductivity of LATP specimens sintered at 850, 900, and 950oC for various sintering times are analyzed. The results indicate that the changes in the microstructure due to sintering temperature and time significantly affect ionic conductivity. Notably, the specimens sintered at 900oC for 30 min exhibit high ionic conductivity. This study presents a method to optimize the ionic conductivity of LATP. Additionally, it underscores the need for a deeper understanding of the Li-ion diffusion mechanism and quantitative microstructure analysis.

In this study, the analysis of the unsteady viscous flow field using the uRANS equation in a moving mesh was studied. The simulation domain is composed of an overset zone fixed to a propeller and rotating at a constant angular speed and a far zone which is located in the far distance and does not move. Each zone is composed of a polyhedral meshes for the accurate and robust gradient calculation in addition to the reduction of computation time. Simulation technique was applied to the aerodynamic analysis of the 5-inch propeller and compared with those of the MRF and the thrust test. The thrust predicted by the moving mesh showed good correlation with the MRF result within 0.5% difference, but the torque showed a tendency to under-prediction by about 10% compared to the MRF. In the future, we plan to further validate the numerical analysis technique using the moving mesh by applying it to the configurations in which precise test results exist.

Maritime monitoring requirements have been beyond human operators capabilities due to the broadness of the coverage area and the variety of monitoring activities, e.g. illegal migration, or security threats by foreign warships. Abnormal vessel movement can be defined as an unreasonable movement deviation from the usual trajectory, speed, or other traffic parameters. Detection of the abnormal vessel movement requires the operators not only to pay short-term attention but also to have long-term trajectory trace ability. Recent advances in deep learning have shown the potential of deep learning techniques to discover hidden and more complex relations that often lie in low dimensional latent spaces. In this paper, we propose a deep autoencoder-based clustering model for automatic detection of vessel movement anomaly to assist monitoring operators to take actions on the vessel for more investigation. We first generate gridded trajectory images by mapping the raw vessel trajectories into two dimensional matrix. Based on the gridded image input, we test the proposed model along with the other deep autoencoder-based models for the abnormal trajectory data generated through rotation and speed variation from normal trajectories. We show that the proposed model improves detection accuracy for the generated abnormal trajectories compared to the other models.

Maritime monitoring requirements have been beyond human operators capabilities due to the broadness of the coverage area and the variety of monitoring activities, e.g. illegal migration, or security threats by foreign warships. Abnormal vessel movement can be defined as an unreasonable movement deviation from the usual trajectory, speed, or other traffic parameters. Detection of the abnormal vessel movement requires the operators not only to pay short-term attention but also to have long-term trajectory trace ability. Recent advances in deep learning have shown the potential of deep learning techniques to discover hidden and more complex relations that often lie in low dimensional latent spaces. In this paper, we propose a deep autoencoder-based clustering model for automatic detection of vessel movement anomaly to assist monitoring operators to take actions on the vessel for more investigation.

Odontogenic keratocyst (OKC), also known as keratocystic odontogenic tumor, is a distinct clinicopathologic lesion that can be clearly identified by histologic examination. Clinically, OKC is characterized by a high recurrence rate. This report describes a rare case of OKC with mural calcification in the maxilla of a 47-year-old male patient. Orthopantomography and Cone Beam Computed Tomography showed full opacification with calcification and lateral wall resorption in the left maxillary sinus, destroying the sinus floor. Hard tissue deposits have rarely been reported in the connective tissue walls of OKC. The importance of calcified material formation to the biological behavior of OKCs is unclear. Although its prognostic value has not been studied, the presence of calcification materials does not appear to increase the risk of recurrence. Study of a number of samples would be needed to determine the nature of the correlation between the presence of calcified materials and recurrence.

NKN [(Na,K)NbO3] is a candidate lead-free piezoelectric material to replace PZT [Pb(Zr,Ti)O3]. A single crystal has excellent piezoelectric-properties and its properties are dependent of the crystal orientation direction. However, it is hard to fabricate a single crystal with stoichiometrically stable composition due to volatilization of sodium during the growth process. To solve this problem, a solid solution composition is designed (Na,K)NbO3-Ba(Cu,Nb)O3 and solid state grain growth is studied for a sizable single crystal. Ceramic powders of (Na,K)NbO3-M(Cu,Nb)O3 (M = Ca, Sr, Ba) are synthesized and grain growth behavior is investigated for different temperatures and times. Average normal grain sizes of individual specimens, which are heat-treated at 1,125 oC for 10 h, are 6.9, 2.8, and 1.6 m for M = Ca, Sr, and Ba, respectively. Depending on M, the distortion of NKN structure can be altered. XRD results show that (NKN-CaCuN: shrunken orthorhombic; NKN-SrCuN: orthorhombic; NKN-BaCuN: cubic). For the sample heat-treated at 1,125 oC for 10 h, the maximum grain sizes of individual specimens are measured as 40, 5, and 4,000 m for M = Ca, Sr, and Ba, respectively. This abnormal grain size is related to the partial melting temperature (NKN-CaCuN: 960 oC; NKN-SrCuN: 971 oC; NKN-BaCuN: 945 oC).

Pb(Zr,Ti)O3 (PZT) is used for the various piezoelectric devices owing to its high piezoelectric properties. However, lead (Pb), which is contained in PZT, causes various environment contaminations. (K,Na)NbO3 (NKN) is the most well-known candidate for a lead-free composition to replace PZT. A single crystal has excellent piezoelectric-properties and its properties can be changed by changing the orientation direction. It is hard to fabricate a NKN single crystal due to the sodium and potassium. Thus, (Na,K)NbO3-Ba(Cu,Nb)O3 (NKN-BCuN) is chosen to fabricate the single crystal with relative ease. NKNBCuN pellets consist of two parts, yellow single crystals and gray poly-crystals that contain copper. The area that has a large amount of copper particles may melt at low temperature but not the other areas. The liquid phase may be responsible for the abnormal grain growth in NKN-BCuN ceramics. The dielectric constant and tan δ are measured to be 684 and 0.036 at 1 kHz in NKN-BCuN, respectively. The coercive field and remnant polarization are 14 kV/cm and 20 μC/cm2.

Microbubbles oxygen transfer to water was simulated based on experimental results obtained from the bubbles generation operated under varying liquid supply velocity to the multi-step orifices of the generator. It had been known that liquid supply velocity and bubble size are inversely related. In the oxygen transfer, a non-steady state was assumed and the pseudo stagnation caused the slow movement of bubbles from the bottom to the water surface. Two parameters were considered for the simulation: They represent a factor to correct the pseudo stagnation state and a scale which represented the amount of bubbles in supply versus time. The sum of absolute error determined by fitting regression to the experimental results was comparable to that of the American Society of Civil Engineers (ASCE) model, which is based on concentration differential as the driving force. Hence, considering the bubbles formation factors, the simulation process has the potential to be easily used for applications by introducing two parameters in the assumptions. Compared with the ASCE model, the simulation method reproduced the experimental results well by detailed conditions.

본 논문에서는 과도한 계산용량이 필요한 초음속 비행체의 비정상 열응답 해석을 수행하기 위한 준-비정상해석 기법을 소개한다. 준-비정상해석 기법은 연성 연계 기법과 복합 열전달 해석기법을 통합한 방법으로 계산시간 단축시키면서 동시에 정확도를 향상시키기 위해 고안되었다. 또한 준-비정상해석 시, 해석 구간을 분할하기 위한 기준시간을 결정하는 알고리즘을 고안하여 준-비정상해석 기법의 정확도를 향상시키고자 하였다. 본 논문에서는 준-비정상해석 기법을 평가하기 위하여 가상의 비행 시나리오에서 열응답 해석을 수행하였으며, 비정상 해석 결과와 비교 검증을 수행하였다. 무딘 물체의 표면 온도 및 정체점의 온도를 통해 각각의 기법의 차이를 도출하였다. 비정상 해석을 통해 도출한 정체점의 온도와 준-비정상 해석을 통해 도출한 정체점의 온도 차이는 11.4% 이내로 높은 정확도를 확보함과 동시에 28배에 가까운 계산시간을 단축시켜 해석 기법의 효율성과 정확성을 확보하였다.

Since flight operations are determined by real-time weather conditions, the importance of weather information utilization in the airline industry is absolutely critical. Especially, abnormal flight operations due to the weather phenomenon is directly linked to a loss of airline, and also causes a deterioration in the quality of customer service. Therefore, this study analyzes occurrence conditions and correlates abnormal flight operations by the meteorological phenomenon at 4 major airports in Korea. Based on these results, it is aimed to provide a basis for stable flight operation to make the best decisions.

Airline schedules are highly dependent on various factors of uncertainties such as unfavorable weather conditions, mechanical problems, natural disaster, airport congestion, and strikes. If the schedules are not properly managed to cope with such disturbances, the operational cost and performance are severely affected by the delays, cancelations, and so forth. This is described as a disruption. When the disruption occurs, the airline requires the feasible recovery plan returning to the normal operations in a timely manner so as to minimize the cost and impact of disruptions. In this research, an Ant Colony Optimization (ACO) algorithm with re-timing strategy is developed to solve the recovery problem for both aircraft and passenger. The problem consists of creating new aircraft routes and passenger itineraries to produce a feasible schedule during a recovery period. The suggested algorithm is based on an existing ACO algorithm that aims to reflect all the downstream effects by considering the passenger recovery cost as a part of the objective function value. This algorithm is complemented by re-timing strategy to effectively manage the disrupted passengers by allowing delays even on some of undisrupted flights. The delays no more than 15 minutes are accepted, which does not influence on the on-time performance of the airlines. The suggested method is tested on the real data sets from 2009 ROADEF Challenge, and the computational results are compared with the existing ones on the same data sets. The method generates the solution for most of problem set in 10 minutes, and the result generated by re-timing strategy is discussed for its impact.

The refrigerant temperature of a compressor increases due to heat generated in the discharge chamber and the motor. The increase of the suction temperature raises the superheat resulting in EER reduction. Thus, accurate superheat prediction is needed for the design of an efficient compressor. In this paper, the unsteady flow analysis is performed using CFD to predict the superheat. The results show that the suction temperature increases by about 26 °C which agrees well with the experiments.

교량단면 등에 이용되는 날카로운 모서리를 갖는 형상 주위의 유동은 기존의 전산 유체 해석에 있어서 격자 생성이나 수치적 안정성 측면에서 매우 어려운 문제를 제기한다. 최근 많이 적용되고 있는 직교격자 기반의 가상경계법도 물체면에서 점착조건을 위해 운동량 보정을 물체 내부에 적용하는 외삽법을 이용하는데, 삼각형 단면과 같은 날카로운 모서리를 갖는 형상 주위 유동 해석에 있어 수치적 불안정성을 나타낸다. 이에 본 논문에서는 보정량이 유체 내에 작용하는 내삽법을 날카로운 모서리 형상 주위의 유동해석에 적용하였다. 개발된 방법을 이용하여 정삼각형 단면 주위의 비정상, 비압축성의 2차원 층류 유동을 해석하였으며, Re=100~250의 유동에 대해 기존의 연구 결과와 비교를 통해 검증하였다. Re가 250의 유동장에 대해 다양한 변장비의 이등변삼각형 형상 주위의 해석 결과 변장비 증가에 따른 항력감소와 양력 변동량의 증가를 나타내었으며, 특히 풍상측이 수직인 경우 변장비 증가는 박리 유동의 재부착과 장주기의 와흘림으로 인한 저주파 대진폭의 양력 변동이 나타남을 알 수 있다.

Krox-25, a Kruppel type zinc finger protein, may play an important role for the morphogenesis of tooth in ectomesenchymal interaction between enamel epithelium and odontogenic mesenchyme. The interrupted expression of Krox-25 by antisense inhibition is supposed to affect the abnormal development of tooth germ similar to the deranged proliferation of odontogenic tumors. This study was performed to know the histomorphogenetic effect of Krox-25 antisense inhibition in tooth germs of mouse embryos and to understand the abnormal expressions of Krox-25 in different odontogenic tumors which proliferate in aberrant direction of ecto-mesenchymal interaction. Total 95 tooth germs obtained from pregnant mice in the 13th day of fertilization were cultured with antisense oligonucleotides targeting mouse Krox-25 gene, and their histological patterns were compared with those of different odontogenic tumors, i.e., ameloblastic fibro-odontoma (n=5), ameloblastoma (n=8), and ameloblastic carcinoma (n=2). Resultantly, the cultured tooth germs treated with antisense oligodeoxynucleotides produced primitive dentine and enamel by odontoblasts and ameloblasts, respectively, but they aberrantly grew and formed abnormal tooth organs. Especially, the harmonious growth of enamel and dentine formation was greatly deranged by the antisense inhibition in the organ culture system. These findings were much similar to the abnormal growth of odontogenic tumors. The relatively well differentiated enamel epithelium of ameloblastic fibro-odontoma showed irregularly strong reaction of Krox-25, while the poorly differentiated enamel epithelium of ameloblastic carcinoma showed weak reaction. These data suggest that Krox-25 may play important roles for the histomorphogenesis of tooth germ by signaling the ecto-mesenchymal interaction between odontoblasts and ameloblasts in normal tooth germ development of mouse embryos as well as in cytodifferentiation of odontogenic tumors.

이 연구에서는 전 유동장의 순간속도를 계측 할 수 있는 PIV계측기법을 슬라이딩 밸브의 폐쇄 직후에 적용하고 짧은 시간에 발생하는 디스크 주위의 비정상 속도를 계측하여 유동특성을 실험적으로 고찰하였다. 순간유동장을 분석한 결과를 기존의 압력변동을 측정한 연구 결과에 비교 검토한 결과 슬라이드 밸브 급폐쇄에 따른 속도변동이 크게 나타나는 시간구간은 0.1초 이내이고 주기는 0.12초로 추정되었다. 또한 원관 내부의 디스크 주위유동은 상부부터 폐쇄되면서 유로가 좁아져 순간적으로 빠르게 하류로 진행하였으며 폐쇄직후에 역류하는 속도의 크기는 4/120초까지 감소하다가 다시 증가하는 경향을 보였다. 그리고 완전 폐쇄 후 상류 측으로 역류하는 흐름의 영향으로 y/D=0.2 하부 영역에 역류하는 속도성분이 나타났으며, y/D=0.7, x/D=-0.3의 근방에서 0.2D 크기의 회전와류가 관찰되었다.

변동풍속 하에서 사장교의 공탄성 응답을 평가하기 위한 시간영역 해석기법을 제시하였다. 시간영역 해석법에서 중요하게 다루고 있는 두 가지 사항을 동시에 고려하였다. 첫째는 인공적으로 생성된 변동풍속의 공간분포 특성이며 둘째는 비정상 공기력의 주파수 의존성이다. 이 두 특성은 기존 논문에서도 개별적으로 검토된 바 있지만, 본 연구에서는 이를 동시에 고려함으로써 기존 개별 논문에 비하여 시간영역 공탄성 해석 결과가 실교량의 거동을 보다 정확히 구현할 수 있도록 하였다. 실교량을 대상으로 이와 같이 두 특성을 고려한 시간영역 해석결과를 도출한 뒤, 이 두 특성을 비교적 쉽게 반영할 수 있는 주파수영역 해석법의 결과와 비교함으로써 제안된 공탄성 해석법이 타당한 결과를 줌을 입증하였다. 이를 통하여 향후 장대교량의 제진 설계나 비선형 공탄성해석에 활용될 수 있는 시간영역 해석법을 제시하였다.