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최수리(Suri Choi),이동훈(Dong Hoon Lee) 한국정보보호학회 2017 정보보호학회논문지 Vol.27 No.6
2001년 Boneh와 Franklin이 제안한 ID 기반 암호는 기존 공개키 기반 구조(PKI)와 달리 사용자의 ID를 공개키로 사용하기 때문에 공개키 검증을 위한 인증서가 필요하지 않다. 하지만 ID 기반 암호는 키 생성 기관(PKG)이 사용자의 비밀키를 직접 발급하기 때문에 키 위탁 문제가 발생한다. 또한, 한 번 발급받은 비밀키는 유효성이 지속되기 때문에 키 유출 등으로 인한 비밀키 폐기를 효율적으로 진행하기 어려운 문제가 있다. 본 논문에서는 키 위탁 문제를 완화하는 책임 기관 ID 기반 암호(A-IBE)와 사용자 폐기를 지원하는 ID 기반암호(RIBE)를 기반으로 두 가지 문제를 모두 해결하는 사용자 폐기를 지원하는 책임 기관 ID 기반 암호(A-RIBE)를 제안한다. 또한 A-RIBE에 적합한 안전성 모델을 새롭게 정의하고, 기반하는 A-IBE와 RIBE에 따른 A-RIBE의 설계원리와 그 장 · 단점을 분석한다. In 2001, Boneh and Franklin proposed Identity-Based Encryption(IBE) that does not require a certificate like Public Key Infrastructure(PKI) by using user’s Identity as a public key. However, IBE has a key escrow problem because the Private Key Generator(PKG), who is a trusted authority, generates a secret key of every user. Also, it does not support efficient revocation when the user’s secret key is exposed or the system needs to revoke the user. Therefore, in order to use IBE as PKI that currently used, it is necessary to solve the key escrow problem and the revocation problem. In this paper, to solve those two problems, we suggest Accountable Authority Revocable IBE(A-RIBE) based on Accountable Authority IBE that mitigates the key escrow problem and Revocable IBE that solves the revocation problem. Also, we define the security model suitable foe A-RIBE, and analyze the principle of designing A-RIBE according to based A-IBE and RIBE and their advantage and disadvantage.
Flood Video Segmentation on Remotely Sensed UAV Using Improved Efficient Neural Network
Naili Suri Inthizami,M. Anwar Ma’sum,Machmud R. Alhamidi,Ahmad Gamal,Ronni Ardhianto,Kurnianingsih,Wisnu Jatmiko 한국통신학회 2022 ICT Express Vol.8 No.3
Semantic segmentation can be used to analyze the video data taken by UAV in the flood monitoring system. An accurate analysis can help rescue teams to assess and mitigate flood disasters. This paper proposed an improved Efficient Neural Network architecture to segment the UAV video of flood disaster. The proposed method consists of atrous separable convolution as the encoder and depth-wise separable convolution as the decoder. The experimental results reveal that the proposed method outperforms Efficient Neural Networks’ other architecture and gives the highest frame per second.
박수리(Suri Park),한상욱(Sang-wook Han),김병직(Byung-jick Kim) 한국가스학회 2017 한국가스학회지 Vol.21 No.5
화학플랜트 산업단지 내의 플랜지, 밸브 등의 이음새 및 저장탱크의 균열 등에서 발생되는 원료, 중간재, 제품가스의 누출 유무와 누출량을 확인하는 것은 안전 관점이나 경제적 관점에서 매우 중요하다. 광학가스이미지 기술은 누출 유무를 확인하는데 사용되고 있으나 누출량을 표시하지 않는다. 일부기기는 검출 가능한 가스에 대한 색상 구분과 농도에 따른 색상의 진함으로 나타내고 있다. 따라서 OGI영상에서 유출량의 정량화에 대한 연구가 필요하다. 본 실험적 연구는 광학가스이미지로 부터 유출량의 정량표시에 관한 것이다. 2 차원의 OGI영상으로 3 차원에 분포되어 있는 누출가스 양을 추정하기 위하여 몬테카를로 확률기법을 적용하였다. 산출면적 기준은 가로(2.54 ㎝), 세로(2.54 ㎝)의 2 차원의 OGI영상 점의 수에 대해 3 차원의 가스 분포 유출량과의 상관관계계수를 구하니 그 평균값이 0.980이었다. OGI영상의 이러한 데이터 표를 이용하여 역으로 유출량을 추정한 결과 유량계 측정값과 일치도가 높음을 확인했다. In chemical industry plants, the raw material, intermediate and final products can leak from unstable joints of flanges and valves as well as cracks of storage tanks. From the safety and economic standpoints, it is very important to understand whether leaks or not and leakage rate. The OGI(optical gas image) technique can tell gas leakages, but cannot give the leakage rate. Some special OGI devices can show the kind of gas in different color concentration in different darkness. Therefore the research on quantification of OGI is necessary. In this research, we have developed the practical method to quantify OGI of methane leakage. To estimate 3-dimensional gas leakages distribution from 2-dimensional OGI, the Monte Carlo Probability technique was applied. First the number of points in the area of width(2.54 ㎝) and length(2.54 ㎝) in OGI was counted. Total no of each experiment was compared with the measured flow rate. The correlation average between total points and measured flow rate was found to be 0.980. Reversely we estimated the leakage rate of OGI by use of the correlation table. The results showed good agreement between the estimation value and the measured value.
Shweta Suri,Anupama Singh,Prabhat K. Nema 한국식품과학회 2021 Food Science and Biotechnology Vol.30 No.13
Citrus fruits are well known for their medicinaland therapeutic potential due to the presence of immensebioactive components. With the enormous consumption ofcitrus juice, citrus processing industries are focused on theproduction of juice but at the same time, a large amount ofwaste is produced mainly in the form of peel, seeds,pomace, and wastewater. This waste left after processingleads to environmental pollution and health-related hazards. However, it could be exploited for the recovery ofessential oils, pectin, nutraceuticals, macro and micronutrients,ethanol, and biofuel generation. In view of theimportance and health benefits of bioactive compoundsfound in citrus waste, the present review summarizes therecent work done on the citrus fruit waste valorization forrecovery of value-added compounds leading to zerowastage. Therefore, instead of calling it waste, these couldbe a good resource of significant valuable components, inthis way encouraging the zero-waste theory.
Properties of Gmelina arborea and Melia azedarach Woods after Oil-Heat Treatment
( Intan Fajar Suri ),( Byantara Darsan Purusatama ),( Jong Ho Kim ),( Jae Ik Jo ),( Seong Hyun Kim ),( Do Hoon Kim ),( Wahyu Hidayat ),( Fauzi Febrianto ),( Nam-hun Kim ) 한국목재공학회 2020 한국목재공학회 학술발표논문집 Vol.2020 No.1
The objective of the study was to evaluate the effect of oil-heat treatment on the anatomical, physical, and chemical properties of gmelina (Gmelina arborea) and mindi (Melia azedarach) wood. Oil-heat treatment was conducted at 180°C, 200°C, and 220°C. Anatomical characteristics, such as the dimension of vessel and fiber was observed by scanning electron microscopy. The results showed that vessel lumen area and vessel diameter in radial and tangential direction of both gmelina and mindi increased with increasing temperature. The lumen areas of fibers and total are of fibers in both woods were decreased by oil-heat treatment, and the wall area of fiber increased with increasing temperature. Weight change, density, and dimensional swelling were also measured. Both woods tended to gain weight after heat treatment at 180°C and 200°C, and then lose weight after heat treatment at 220°C. The density of mindi increased at 180°C and 200°C and decreased slightly at 220°C. However, the density of gmelina seems did not change after the treatment. Dimensions of the specimens in the tangential direction increased by heat treatment, but the rate decreased with increasing temperature. Consequently, it was revealed that the oil-heat treatment affected to change anatomical and physical properties of gmelina and mindi woods.