• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.4 no.3
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• pp.255-263
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• 2006

Vol-oxidizer is a device to convert $UO_2$ pellets into $U_3O_8$ powder and to feed a homogeneous powder into a Metal Conversion Reactor in the ACP(Advanced Spent Fuel Conditioning Process). In this paper, we propose a design model of the vol-oxidizer, develop the new vol-oxidizer with a capacity of 20 kg HM/batch in $UO_2$ pellets, and conduct a verification for the device. Design considerations include the internal structure, the capacity, the heating position of the device, and the size. The dimensions of the new vol-oxidizer are decided by the design model. We determine a permeability test of the $U_3O_8$ measuring the temperature distribution, and the volume of $UO_2$ and $U_3O_8$. We manufactured the new vol-oxidizer for a 20 kg HM/batch in $UO_2$ pellets, and then analyzed the characteristics of the $U_3O_8$ powder for the verification. The experimental results show that the permeability of the $U_3O_8$ throughout mesh enhance more than old vol-oxidizer, the oxidation time takes only 8 hours when compared with the 13 hours of the old device, and the average distribution of particle size is $40{\mu}m$. The capacities of new vol-oxidizer for a 20 kg HM/batch in $UO_2$ pellets were agree well with the predictions of design model.

• Journal of the Korean Society of Radiology
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• v.14 no.1
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• pp.39-44
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• 2020

The purpose of this study was learning about chest X-ray image classification and accuracy research through Deep Learning using big data technology with Convolution Neural Network. Normal 1,583 and Pneumonia 4,289 were used in chest X-ray images. The data were classified as train (88.8%), validation (0.2%) and test (11%). Constructed as Convolution Layer, Max pooling layer size 2×2, Flatten layer, and Image Data Generator. The number of filters, filter size, drop out, epoch, batch size, and loss function values were set when the Convolution layer were 3 and 4 respectively. The test data verification results showed that the predicted accuracy was 94.67% when the number of filters was 64-128-128-128, filter size 3×3, drop out 0.25, epoch 5, batch size 15, and loss function RMSprop was 4. In this study, the classification of chest X-ray Normal and Pneumonia was predictable with high accuracy, and it is believed to be of great help not only to chest X-ray images but also to other medical images.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.76-81
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• 2017

외국어로 구성된 용어를 발음에 기반하여 자국의 언어로 표기하는 것을 음차 표기라 한다. 국가 간의 경계가 허물어짐에 따라, 외국어에 기원을 두는 용어를 설명하기 위해 뉴스 등 다양한 웹 문서에서는 동일한 발음을 가지는 외국어 표기와 한국어 표기를 혼용하여 사용하고 있다. 이에 좋은 검색 결과를 가져오기 위해서는 외국어 표기와 더불어 사람들이 많이 사용하는 다양한 음차 표기를 함께 검색에 활용하는 것이 중요하다. 음차 표기 모델과 음차 표기 대역 쌍 추출을 통해 음차 표현을 생성하는 기존 방법 대신, 본 논문에서는 신뢰할 수 있는 다양한 음차 표현을 찾기 위해 문서에서 음차 표기 후보를 찾고, 이 음차 표기 후보가 정확한 표기인지 판별하는 방식을 제안한다. 다양한 딥러닝 모델을 비교, 검토하여 최종적으로 음차 표기 대역 쌍 판별에 특화된 모델인 Distance LSTM-CNN 모델을 제안하며, 제안하는 모델의 Batch Size 영향을 줄이고 학습 시 수렴 속도 개선을 위해 Layer Normalization을 적용하는 방법을 보인다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.12 no.4
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• pp.115-126
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• 2002

This paper deals with efficient algorithms for computing a product of n distinct powers in a group(called multi-exponentiation). Four different algorithms are presented and analyzed, each of which has its own range of n for best performance. Using the best performing algorithm for n ranging from 2 to several thousands, one can achieve 2 to 4 times speed-up compared to the baseline binary algorithm and 2 to 10 times speed-up compared to individual exponentiation.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.294-301
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• 2022

COVID-19 is a crisis with numerous casualties. The World Health Organization (WHO) has declared the use of masks as an essential safety measure during the COVID-19 pandemic. Therefore, whether or not to wear a mask is an important issue when entering and exiting public places and institutions. However, this makes face recognition a very difficult task because certain parts of the face are hidden. As a result, face identification and identity verification in the access system became difficult. In this paper, we propose a system that can detect masked face using transfer learning of Yolov5s and recognize the user using transfer learning of Facenet. Transfer learning preforms by changing the learning rate, epoch, and batch size, their results are evaluated, and the best model is selected as representative model. It has been confirmed that the proposed model is good at detecting masked face and masked face recognition.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.373-376
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• 2022

미세먼지 수집을 위하여 필요한 위치 선정 방안과 위치 선정시 중요한 바람길분석, 수요조사, 유동인구, 교통량 등의 중요 기준을 반영하여 최종 선정하여야 하며, 이에 따라 설치된 측정기로부터 데이터 수집을 위해 지역적, 환경적, 지형적 요소를 감안하여 수집 항목을 결정하여야 한다. 데이터 수집시 실시간 또는 배치(Batch)로 할 것인지 여부를 결정하여야 하며, 이 보고서에서는 실시간으로 데이터 수집하는 경우를 설명하였다. 데이터 수집시 정확도를 높이기 위해 결측값, 이상값인 전처리 단계를 거쳐서 분석과 Modeling 구축을 통하여 정확도가 높은 알고리즘을 선정하여야한다. 정확도가 높은 알고리즘은 검증용 데이터 셋으로 적합성을 검증하여, 측정기 설치 위치의 적합성, 데이터 수집의 적합성, Modeling 구축 및 평가가 적합함을 지표로서 제시하여 적합성 검증을 하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.768-769
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• 2011

VANET(Vehicular Ad-hoc Network)는 MANET(Mobile Ad-hoc Network)의 한 형태로, 다수의 차량들이 무선통신을 이용하여 차량 간 통신 또는 차량과 RSU(Road Side Unit)사이의 통신을 제공하는 차세대 네트워킹 기술이다. VANET환경에서 기존의 그룹 서명 방식을 이용한 메시지 서명 및 검증이 이루어진다면, 통신 차량이 많아질수록 오버헤드가 발생하는 단점을 지니고 있다. 이에 따라, 본 논문에서는 다수의 차량 간 통신 시에 보다 효율적인 메시지 검증을 위해 Bloom Filter를 이용한 메시지 일괄 검증 기법을 제안한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.1
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• pp.41-55
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• 2005

A group key agreement protocol allows a group of user to share a key which may later be used to achieve certain cryptographic goals. In this paper, we propose a new scalable two-round ID-based group key agreement protocol which would be well fit to a Pay-TV system, additionally. to the fields of internet stock quotes, audio and music deliveries, software updates and the like. Our protocol improves the three round poop key agreement protocol of Nam et al., resulting in upgrading the computational efficiency by using the batch verification technique in pairing-based cryptography. Also our protocol simplifies the key agreement procedures by utilizing ID-based system. We prove the security of our protocol under the Computational Diffie-Hellman assumption and the Bilinear Decisional Diffie-Hellman assumption. Also we analyze its efficiency.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.483-491
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• 2023

Due to the spread of mobile devices, the use of mobile electronic notification services is increasing. For the mobile electronic notification service, the connecting information is required to identify the owner of the mobile device and the recipient of the notification. The connecting information is an online resident registration number, and safe management is essential. Therefore, in this paper, the processing flow, interconnecting standard, and management plan are proposed when a mobile electronic notification requesting agency requests the identity verification agency to convert the resident registration number of the recipient of the electronic notification to connecting information. In the proposed method, it is suggested that a safe mobile electronic notification service is possible by defining the process of collective conversion of connecting information between private organizations and personal identity proofing agency, information transmission and reception methods, and interworking standards.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.559-569
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• 2022

Due to the spread of mobile devices, the use of mobile electronic notification services is increasing. For the mobile electronic notification service, the connecting information is required to identify the owner of the mobile device and the recipient of the notification. The connecting information is an online resident registration number, and safe management is essential. Therefore, in this paper, the processing flow, interconnecting standard, and management plan are proposed when a mobile electronic notification requesting agency requests the identity verification agency to convert the resident registration number of the recipient of the electronic notification to connecting information. In the proposed method, it is suggested that a safe mobile electronic notification service is possible by defining the process of collective conversion of connecting information between private organizations and personal identity proofing agency, information transmission and reception methods, and interworking standards.