• 한국의학물리학회:학술대회논문집
• /
• 한국의학물리학회 2003년도 제27회 추계학술대회
• /
• pp.76-76
• /
• 2003

Purpose: To assess clinical proton MR spectroscopy (MRS) as a noninvasive method for evaluating tumor malignancy at 3T high field system. Methods: Using 3T MRI/MRS system, localized water-suppressed single-voxel technique in patients with brain tumors was employed to evaluate spectra with peaks of N-acetyl aspartate (NAA), choline-containing compounds (Cho), creatine/phosphocreatine (Cr) and lactate. On the basis of Cr, these peak areas were quantificated as a relative ratio. Results: The variation of metabolites measurements of the designated region in 10 normal volunteers was less than 10%. Normal ranges of NAA/Cr and Cho/Cr ratios were 1.67$\pm$018 and 1.16:1:0.15, respectively. NAA/Cr ratio of all tumor tissues was significantly lower than that of the normal tissues (P=0.005). Cho/Cr ratio of high-grade gliomas was significantly higher than that of low-grade gliomas (P= 0.001), Except 4 menigiomas, lactate signal was observed in all tumor cases. Conclusions: The present study demonstrated that the neuronal degradation or loss was observed in all tumor tissues. Higher grade of brain tumors was correlated with higher Cho/Cr ratio, indicating a significant dependence of Cho levels on malignancy of gliomas. This results suggest that clinical proton MR spectroscopy could be useful to predict tumor malignancy. Acknowledgement: This study was supported by a grant of the Mid and Long Term Nuclear R/D Plan Program, Ministry of Science and Technology, Republic of Korea.

• 대한의생명과학회지
• /
• 제15권4호
• /
• pp.363-368
• /
• 2009

One of the frequent occurrences in rearrangements is chromosome inversion. Pericentric inversion is considered to be the variant of normal karyotype. We investigated the karyotypes of 1195 cases being referred to prenatal diagnosis using standard GTG banding for karyotype preparation. The chromosomal analysis revealed a total of 15 (1.26%) inversions. The characteristics of inversion type [(inv(4), inv(8), inv(9), inv(11)) were investigated on the basis of chromosomal analyses of fetuses and their parents. The results from chromosomal examination of the parents, whose fetuses were diagnosed as inversion, show that either parent might be the carrier. Inversion in human chromosome is commonly seen in normal humans and the frequency estimated to be 1 to 2% in general population and the exact amount of this phenomenon is still unclear. These results indicate that inv(8), inv(9), and inv(11) are phenotypically normal. However these may often cause clinical problems in offspring of the carrier, such as fetal wastage repeated spontaneous abortions and infertility with unknown mechanisms related to sex. We describe an inversion of human chromosome and its clinical correlation with human genetic disease.

• 대한치과교정학회지
• /
• 제15권1호
• /
• pp.115-121
• /
• 1985

This study was intended to investigate the effect of mesiodistal crown widths of the anterior teeth on the incisor relationship and to determine whether incisor width ratio and anterior width ratio could be used to assess interarch tooth width harmony. From the casts taken from 63 subjects, 26 of open bite, 18 of deep bite and 19 of normal over bite with age of 17-20, mesiodistal crown widths of maxillary and mandibular 6 anterior teeth were measured with Boley gauge. On the basis of tooth measurements, anterior and incisor width ratio were calculated. The cephalograms were taken from same subjects to measure the degree of over bite and over jet and to compare the craniofacial bony structures between open bite, deep bite and normal over bite. Correlations among the anterior width ratio, incisor width ratio, over bite and over jet were calculated. The results were as follows. 1. There were no differences in mesiodistal widths of anterior teeth, incisor width ratio and anterior width ratio between open bite, deep bite and normal over bite. 2. The incisor width ratio and anterior width ratio can be useful in the assessment of tooth width harmony because the incisor width ratio and anterior width ratio were stable statistically and significantly correlated with each other. 3. Over bite and over jet were not correlated with incisor width ratio and anterior width ratio.

• 정보보호학회논문지
• /
• 제13권2호
• /
• pp.99-106
• /
• 2003

네트워크 환경에서의 다양한 침입은 심각한 위험을 초래 할 수 있기 때문에 침입을 효과적으로 탐지하기 위해 데이터마이닝 기법을 발전시켜 왔다. 비정상행위 탐지 기술은 순수 데이터로 학습한 후, 비정상행위를 탐지하기 때문에 정교한 정상행위 패턴 생성이 필수적이다. 순수한 학습 데이터의 생성은 시간과 비용이 많이 드는 단점이 있다. 따라서 네트워크 상의 데이터에 대한 특징을 파악하는 것이 중요하다. 본 논문에서는 데이터마이닝의 연관규칙 및 클러스터링기법을 비정상행위 탐지에 적용하였고, 패킷내의 판정 요소에 정보이론 척도를 적용하여 불필요한 데이터를 필터링하는 방법을 제시하였다. 또한 가변길이 트랜잭션을 네트워크상의 분석 단위를 정의하는 기준으로 제시하여 행위 패턴 생성에 보다 묘사성이 높음을 보였다.

• 정보보호학회논문지
• /
• 제9권3호
• /
• pp.3-12
• /
• 1999

공개키 암호법은 정수 인수분해의 어려움에 바탕을 둔 RSA와 이산대수문제의 어려움에 근거한 EIGamal 암호법을 대표된다. GF(qn)*에서 index-calculus 이산대수 알고리즘을 다항식 인수분해를 필요로 한다. 최근에 Niederreiter에 의하여 유한체위에서의 다항식 인수분해 알고리즘이 제안되었다. 이 논문에서는 정규기저(normal basis)를 이용한 유한체의 연산을 c-언어로 구현하고, 이것을 이용한 Niederreiter의 알고리즘을 기반으로 유한체위에서의 다항식 인수분해 알고리즘과 구현한 결과를 제시한다. The public key crytptosystem is represented by RSA based on the difficulty of integer factorization and ElGamal cryptosystem based on the intractability of the discrete logarithm problem in a cyclic group G. The index-calculus algorithm for discrete logarithms in GF(qn)* requires an polynomial factorization. The Niederreiter recently developed deterministic facorization algorithm for polynomial over GF(qn) In this paper we implemented the arithmetic of finite field with c-language and gibe an implementation of the Niederreiter's algorithm over GF(2n) using normal bases.

• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
• /
• 제27권4호
• /
• pp.29-39
• /
• 2021

Purpose: As the need for a hospital specializing in infectious diseases has increased, construction is being promoted. Hospitals specializing in infectious diseases receive some state subsidies, but in the case of private hospitals, hospital operation efficiency should be considered to prevent cost loss. Therefore, we aim to derive a building plan for a general ward in a hospital specializing in infectious diseases that can be used not only in normal times but also in times of crisis. Methods: In this study, relevant literature review and field interviews were conducted with medical staff working in facilities designated as infectious disease hospitals. Results: The general ward building plan of the hospital specializing in infectious diseases was classified into three categories and presented. 'Spatial composition' for nursing unit and ward zoning, 'Spatial plan' for ward space conversion in normal times and crises, 'Bedroom plan' for effective dimensions and area of the ward. Implications: It can be used as a guideline when designing an infection-facility ward. And it can be a basis for inducing improvements to prevent infection in the ward of existing medical facilities.

• Geomechanics and Engineering
• /
• 제30권5호
• /
• pp.413-422
• /
• 2022

TBM is widely used in the construction of various underground projects in the current world, and has the unique advantages that cannot be compared with traditional excavation methods. However, due to the high cost of TBM, the damage is even greater when geological disasters such as collapse occur during excavation. At present, there is still a shortage of research on various types of risk prediction of TBM tunnel, and accurate and reliable risk prediction model is an important theoretical basis for timely risk avoidance during construction. In this paper, a prediction model is proposed to evaluate the risk level of tunnel collapse by establishing a reasonable risk index system, using analytic hierarchy process to determine the index weight, and using the normal cloud model theory. At the same time, the traditional analytic hierarchy process is improved and optimized to ensure the objectivity of the weight values of the indicators in the prediction process, and the qualitative indicators are quantified so that they can directly participate in the process of risk prediction calculation. Through the practical engineering application, the feasibility and accuracy of the method are verified, and further optimization can be analyzed and discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권3호
• /
• pp.528-550
• /
• 2024

Warehousing demand prediction is an essential part of the supply chain, providing a fundamental basis for product manufacturing, replenishment, warehouse planning, etc. Existing forecasting methods cannot produce accurate forecasts since warehouse demand is affected by external factors such as holidays and seasons. Some aspects, such as consumer psychology and producer reputation, are challenging to quantify. The data can fluctuate widely or do not show obvious trend cycles. We introduce a new model for warehouse demand prediction called MAGRU, which stands for Multi-layer Attention with GRU. In the model, firstly, we perform the embedding operation on the input sequence to quantify the external influences; after that, we implement an encoder using GRU and the attention mechanism. The hidden state of GRU captures essential time series. In the decoder, we use attention again to select the key hidden states among all-time slices as the data to be fed into the GRU network. Experimental results show that this model has higher accuracy than RNN, LSTM, GRU, Prophet, XGboost, and DARNN. Using mean absolute error (MAE) and symmetric mean absolute percentage error(SMAPE) to evaluate the experimental results, MAGRU's MAE, RMSE, and SMAPE decreased by 7.65%, 10.03%, and 8.87% over GRU-LSTM, the current best model for solving this type of problem.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권8호
• /
• pp.2082-2102
• /
• 2024

Accurate segmentation of magnetic resonance (MR) images is crucial for providing doctors with effective quantitative information for diagnosis. However, the presence of weak boundaries, intensity inhomogeneity, and noise in the images poses challenges for segmentation models to achieve optimal results. While deep learning models can offer relatively accurate results, the scarcity of labeled medical imaging data increases the risk of overfitting. To tackle this issue, this paper proposes a novel fuzzy c-means (FCM) model that integrates a deep learning approach. To address the limited accuracy of traditional FCM models, which employ Euclidean distance as a distance measure, we introduce a measurement function based on the skewed normal distribution. This function enables us to capture more precise information about the distribution of the image. Additionally, we construct a regularization term based on the Kullback-Leibler (KL) divergence of high-confidence deep learning results. This regularization term helps enhance the final segmentation accuracy of the model. Moreover, we incorporate orthogonal basis functions to estimate the bias field and integrate it into the improved FCM method. This integration allows our method to simultaneously segment the image and estimate the bias field. The experimental results on both simulated and real brain MR images demonstrate the robustness of our method, highlighting its superiority over other advanced segmentation algorithms.

• 방송공학회논문지
• /
• 제27권1호
• /
• pp.69-79
• /
• 2022

본 연구에서는 이미지 물질의 표면의 특성을 나타내는데 사용되는 노말 맵(normal map) 이미지를 생성하고, 이를 활용하여 원본 물질 이미지의 분류 정확도를 향상시키는 방법을 제안한다. 우선, (1) 이미지 내에서 물질의 표면 특성을 반영하고 있는 노말 맵을 생성하기 위해서 Generator로 Attention-R2 Gate를 적용한 U-Net을 사용하고, 생성된 노말 맵과 원본 노말 맵의 유사도를 Reconstruction loss로 활용한 Pix2Pix 기반의 방법을 사용하였다. 그 다음으로 (2) 앞서 만들어진 노말 맵 이미지를 분류 네트워크의 Attention Gate에 적용하여 원본 물질 이미지를 분류의 정확도를 개선할 수 있는 네트워크를 제안한다. 그리고 Pixar Dataset을 이용하여 생성된 노말 맵에 대해서, Ground Truth에 해당하는 노말 맵 사이의 유사도를 평가한다. 이 때, 유사도 측정 방식에 따라 다르게 적용된 reconstruction loss function의 결과를 비교한다. 또한 물질 이미지 분류에 대한 평가를 위해서 MINC-2500과 FMD 데이터셋을 기준으로 제안된 방법과 선행연구의 비교 실험을 통해 보다 정확하게 구분할 수 있음을 확인하였다. 본 논문에서 제안된 방법은 이미지 내에서 물질을 파악하는 할 수 있는 다양한 이미지 처리 및 네트워크 구축에 기반이 될 수 있을 것으로 기대된다.