先物 日日精算의 先物옵션 價格에 對한 波及效果 : 株價指數 先物을 中心으로

학위논문(석사)--서울大學校 大學院 :經營學科 經營學專攻,1996.Maste

Swelling Characteristics of Stabilized Soils by Lime with Sulphate and Chemical additives

최근 많이 건설중인 도로에서 연약지반을 노상토로 사용하게 될 경우, 공학적으로 많은 문제점이 발생되기 때문에 생석회, 시멘트 등의 여러 가지 화학첨가제를 첨가하여 지반을 개량하게 된다. 특히 생석회에 의한 토질안정처리공법에서 주된 반응은 생석회와 흙 사이에 장기간에 걸쳐 일어나는 포졸란 반응이며, 산성화된 우수 및 공장의 폐수로 오염된 토양 속의 황산염과 결합하여 토질안정처리의 많은 문제점이 발생되고 있다. 도로의 기층재료로 사용된 생석회 혼합토는 흙 속의 황산염과 반응하여 Ettringite, Thaumasite, Gypsum과 같은 팽창성 반응생성물을 생성하여, 도로의 균열 등 악영향을 미친다. 따라서, 본 연구에서는 생석회와 화학첨가제(CaCl₂, CaSO₄, Fe₂O₃)를 혼합하여 산성화된 우수나 공장지대의 오염된 폐수 속에 포함된 황산염에 대한 영향을 조사하였다. 연구결과, 황산염은 생석회 혼합토의 팽창특성을 변화시키는 것으로 나타났다. 팽창특성은 간극수의 pH가 낮을수록 팽창성이 증가하였으며, CaSO₄를 첨가한 생석회 혼합토의 팽창성이 큰 것으로 나타났다. 팽창성의 증가는 황산염과 반응하여 생성된 침상의 Ettringite의 생성에 기인한 것임을 확인할 수 있었다.Lime has been extensively utilized to stabilize the weak and soft compressible clay deposits. It has been recently reported that the presence of sulphate causes abnormal volume changes in lime-stabilized soils. Volume change in lime-stabilized soils can take place due to ettringite, thaumasite, and gypsum, which are complex calcium-silicate-hydroxide-sulphate-carbonate-hydrate minerals. Sulphate compounds cause a variety of serious geotechnical hazards such as swell pressure and damages to light structures and pavements. This paper discusses the influence of sulphate on sulplus soil specimens treated with lime and chemical additives(CaCl₂, CaSO₄, Fe₂O₃). The main objective of this paper is to estimate the physical behavior of lime-treated sulplus soils after curing periods of up to 60 days. The physical and mechanical characteristics were explained by means of a laboratory study. The formation of sulphate compounds due to soil-lime and sulphate reactions were identified by X-Ray Diffraction(XRD) and Scanning Electron Microscope(SEM). The results showed that the sulphate increased swelling properties of soils. Theswelling properties development is probably related to the needle-like crystals which were able to be observed by SEM.Lime has been extensively utilized to stabilize the weak and soft compressible clay deposits. It has been recently reported that the presence of sulphate causes abnormal volume changes in lime-stabilized soils. Volume change in lime-stabilized soils can take place due to ettringite, thaumasite, and gypsum, which are complex calcium-silicate-hydroxide-sulphate-carbonate-hydrate minerals. Sulphate compounds cause a variety of serious geotechnical hazards such as swell pressure and damages to light structures and pavements. This paper discusses the influence of sulphate on sulplus soil specimens treated with lime and chemical additives(CaCl₂, CaSO₄, Fe₂O₃). The main objective of this paper is to estimate the physical behavior of lime-treated sulplus soils after curing periods of up to 60 days. The physical and mechanical characteristics were explained by means of a laboratory study. The formation of sulphate compounds due to soil-lime and sulphate reactions were identified by X-Ray Diffraction(XRD) and Scanning Electron Microscope(SEM). The results showed that the sulphate increased swelling properties of soils. Theswelling properties development is probably related to the needle-like crystals which were able to be observed by SEM

Review : Effectiveness of transcranial direct current stimulation in rodent models of Alzheimer's disease

Alzheimer’s disease (AD) is the most common cause of dementia, showing progressive neurodegeneration. Although oral medications for symptomatic improvement still take a huge part of treatment, there are several limitations caused by pharmacology-based real world clinic. In this respect, non-pharmacologic treatment for AD is rising to prominence. Transcranial direct current stimulation (tDCS) is a one of the non-invasive neuromodulation technique, using low-voltage direct current. In terms of safety, tDCS already has been proven through numerous previous reports. This review focused on behavioral, neurophysiologic and histopathologic improvement by applying tDCS in AD rodent models, thereby suggesting reliable background evidence for human-based tDCS study

Optimization-based Deep Learning Model to Localize L3 Slice in Whole Body Computerized Tomography Images

본 논문에서는 근감소증의 발병 여부와 정도를 확인하기 위해 3번 요추부 (L3) CT 영상을 검출하는 딥러닝 모델을 제안하는 것이다. 또한, CT 데이터 내에 L3 레벨과 L3 레벨이 아닌 부분의 데이터 불균형으로 인한 성능 저하의 문제점을 오버샘플링 비율과 클래스 가중치를 설계변수로 하는 최적화 기법을 제시하고자 한다. 모델 학습 및 검증을 위하여 강릉아산병원에 내원한 전립선암 환자 104명, 방광암 환자 46명의 총 150명의 전신 CT 영상이 활용되었다. 딥러닝 모델은 ResNet50을 활용하였으며, 최적화기법의 설계변수로는 모델 하이퍼파라미터 5종과 데이터 증강비율 및 클래스 가중치로 선정하였다. 제안하는 최적화 기반의 L3 레벨 추출 모델은 대조군 (하이퍼파라미터 5종만을 최적화한 모델)과 비교하여 중간 L3 오차가 약 1.0 슬라이스 감소한 것을 확인할 수 있었다. 본 연구결과를 통하여 정확한 L3 슬라이스 검출이 가능하며, 추가적으로 데이터 증강을 통한 오버 샘플링과 클래스 가중치 조절을 통해 데이터 불균형 문제를 효과적으로 해결할 수 있는 가능성을 제시할 수 있다. In this paper, we propose a deep learning model to detect lumbar 3 (L3) CT images to determine the occurrence and degree of sarcopenia. In addition, we would like to propose an optimization technique that uses oversampling ratio and class weight as design parameters to address the problem of performance degradation due to data imbalance between L3 level and non-L3 level portions of CT data. In order to train and test the model, a total of 150 whole-body CT images of 104 prostate cancer patients and 46 bladder cancer patients who visited Gangneung Asan Medical Center were used. The deep learning model used ResNet50, and the design parameters of the optimization technique were selected as six types of model hyperparameters, data augmentation ratio, and class weight. It was confirmed that the proposed optimization-based L3 level extraction model reduced the median L3 error by about 1.0 slices compared to the control model (a model that optimized only 5 types of hyperparameters). Through the results of this study, accurate L3 slice detection was possible, and additionally, we were able to present the possibility of effectively solving the data imbalance problem through oversampling through data augmentation and class weight adjustment