• 제목/요약/키워드: Analysis of key

검색결과 10,008건 처리시간 0.036초

PCA-CIA Ensemble-based Feature Extraction for Bio-Key Generation

  • Kim, Aeyoung;Wang, Changda;Seo, Seung-Hyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권7호
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    • pp.2919-2937
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    • 2020
  • Post-Quantum Cryptography (PQC) is rapidly developing as a stable and reliable quantum-resistant form of cryptography, throughout the industry. Similarly to existing cryptography, however, it does not prevent a third-party from using the secret key when third party obtains the secret key by deception, unauthorized sharing, or unauthorized proxying. The most effective alternative to preventing such illegal use is the utilization of biometrics during the generation of the secret key. In this paper, we propose a biometric-based secret key generation scheme for multivariate quadratic signature schemes, such as Rainbow. This prevents the secret key from being used by an unauthorized third party through biometric recognition. It also generates a shorter secret key by applying Principal Component Analysis (PCA)-based Confidence Interval Analysis (CIA) as a feature extraction method. This scheme's optimized implementation performed well at high speeds.

Statics variation analysis due to spatially moving of a full ocean depth autonomous underwater vehicle

  • Jiang, Yanqing;Li, Ye;Su, Yumin;Cao, Jian;Li, Yueming;Wang, Youkang;Sun, Yeyi
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.448-461
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    • 2019
  • Changes in gravity and buoyancy of a Full Ocean Depth Autonomous Underwater Vehicle (FOD-AUV) during its descending and ascending process must be considered very carefully compared with a Human Occupied Vehicle (HOV) or a Remotely Pperated Vehicle (ROV) whose activities rely on human decision. We firstly designed a two-step weight dropping pattern to achieve a high descending and ascending efficiency and a gravity-buoyancy balance at designed depth. The static equations showed that gravity acceleration, seawater density and displacement are three key aspects affecting the balance. Secondly, we try our best to analysis the gravity and buoyancy changing according to the previous known scientific information, such as anomaly of gravity acceleration, changing of seawater states. Finally, we drew conclusion that gravity changes little (no more than 0.1kgf, it is impossible to give a accurate value). A density-depth relationship at the Challenger Deep was acquired and the displacement changing of the FOD-AUV was calculated preciously.

SEINA: A two-dimensional steam explosion integrated analysis code

  • Wu, Liangpeng;Sun, Ruiyu;Chen, Ronghua;Tian, Wenxi;Qiu, Suizheng;Su, G.H.
    • Nuclear Engineering and Technology
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    • 제54권10호
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    • pp.3909-3918
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    • 2022
  • In the event of a severe accident, the reactor core may melt due to insufficient cooling. the high-temperature core melt will have a strong interaction (FCI) with the coolant, which may lead to steam explosion. Steam explosion would pose a serious threat to the safety of the reactors. Therefore, the study of steam explosion is of great significance to the assessment of severe accidents in nuclear reactors. This research focuses on the development of a two-dimensional steam explosion integrated analysis code called SEINA. Based on the semi-implicit Euler scheme, the three-phase field was considered in this code. Besides, the influence of evaporation drag of melt and the influence of solidified shell during the process of melt droplet fragmentation were also considered. The code was simulated and validated by FARO L-14 and KROTOS KS-2 experiments. The calculation results of SEINA code are in good agreement with the experimental results, and the results show that if the effects of evaporation drag and melt solidification shell are considered, the FCI process can be described more accurately. Therefore, it is proved that SEINA has the potential to be a powerful and effective tool for the analysis of steam explosions in nuclear reactors.

한국치위생학회지 게재논문의 저자 키워드 분석(2016-2018년) (Analysis of authors' key words published in the Journal of Korean Society of Dental Hygiene across 3 years (2016 to 2018))

  • 김윤정
    • 한국치위생학회지
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    • 제19권6호
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    • pp.1059-1066
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    • 2019
  • Objectives: This study aimed to identify authors' key words as published in recent articles in the Journal of Korean Society of Dental Hygiene from 2016 to 2018. Methods: Authors' key words published in the Journal of Korean Society of Dental Hygiene were compared with MeSH (Medical Subject Headings) terms. We analyzed appearance frequencies of authors' key words via SPSS (Ver. 21.0). Results: A total of 1,259 key words and 315 articles were included in the analysis. The most frequently used key words were dental hygienist (40 times), oral health (27 times), dental hygienists (23 times), and elderly (14 times). One hundred and eighty-three articles (58.1%) were found, in which at least one key word matched the MeSH terms, and 132 articles (41.9%) were found in which key words did not match the MeSH terms. Two hundred and ninety-three headings (23.3%) of authors' key words published in the Journal of Korean Society of Dental Hygiene completely matched the MeSH terms. Conclusions: Researchers should be educated in the use of authors' key words to accomplish quality improvements.

Analysis of trends in deep learning and reinforcement learning

  • Dong-In Choi;Chungsoo Lim
    • 한국컴퓨터정보학회논문지
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    • 제28권10호
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    • pp.55-65
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    • 2023
  • 본 논문에서는 딥러닝 및 강화학습 연구에 대해 KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) 알고리즘 기반의 토픽 추출 및 토픽 출현 빈도 분석으로 급변하는 딥러닝 관련 연구 동향 분석을 파악하고자 한다. 딥러닝 알고리즘과 강화학습에 대한 논문초록을 크롤링하여 전반기와 후반기로 나누고, 전처리를 진행한 후 KeyBERT를 사용해 토픽을 추출한다. 그 후 토픽 출현 빈도로 동향 변화에 대해 분석한다. 분석된 알고리즘 모두 전반기와 후반기에 대한 뚜렷한 동향 변화가 나타났으며, 전반기에 비해 후반기에 들어 어느 주제에 대한 연구가 활발한지 확인할 수 있었다. 이는 KeyBERT를 활용한 토픽 추출 후 출현 빈도 분석으로 연구 동향변화 분석이 가능함을 보였으며, 타 분야의 연구 동향 분석에도 활용 가능할 것으로 예상한다. 또한 딥러닝의 동향을 제공함으로써 향후 딥러닝의 발전 방향에 대한 통찰력을 제공하며, 최근 주목 받는 연구 주제를 알 수 있게 하여 연구 주제 및 방법 선정에 직접적인 도움을 준다.

A Gaussian process-based response surface method for structural reliability analysis

  • Su, Guoshao;Jiang, Jianqing;Yu, Bo;Xiao, Yilong
    • Structural Engineering and Mechanics
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    • 제56권4호
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    • pp.549-567
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    • 2015
  • A first-order moment method (FORM) reliability analysis is commonly used for structural stability analysis. It requires the values and partial derivatives of the performance to function with respect to the random variables for the design. These calculations can be cumbersome when the performance functions are implicit. A Gaussian process (GP)-based response surface is adopted in this study to approximate the limit state function. By using a trained GP model, a large number of values and partial derivatives of the performance functions can be obtained for conventional reliability analysis with a FORM, thereby reducing the number of stability analysis calculations. This dynamic renewed knowledge source can provide great assistance in improving the predictive capacity of GP during the iterative process, particularly from the view of machine learning. An iterative algorithm is therefore proposed to improve the precision of GP approximation around the design point by constantly adding new design points to the initial training set. Examples are provided to illustrate the GP-based response surface for both structural and non-structural reliability analyses. The results show that the proposed approach is applicable to structural reliability analyses that involve implicit performance functions and structural response evaluations that entail time-consuming finite element analyses.

pH 진동계 안에서 pH 감응성 자기진동 IPN 하이드로젤의 합성과 분석 (Synthesis and Characterization of pH-sensitive and Self-oscillating IPN Hydrogel in a pH Oscillator)

  • Wang, Liping;Ren, Jie;Zhang, Xiaoyan;Yang, Xiaoci;Yang, Wu
    • 폴리머
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    • 제39권3호
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    • pp.359-364
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    • 2015
  • A self-oscillating interpenetrating polymer network (IPN) poly(acrylic acid)/poly(ethylene glycol) (PAA/PEG) hydrogel was prepared by using radical polymerization with a two-step method. The IPN hydrogel was characterized by FTIR spectroscopy and morphological analysis. The results indicated that the chains of PEG and PAA twined to form porous structure which is beneficial to water molecules entering inside of the hydrogel. In addition, the pH-responsive behavior, salt sensitivity, swelling/de-swelling oscillatory behaviors and self-oscillation in a closed pH oscillator were also studied. The results showed that the prepared hydrogel exhibited pH-sensitivity, good swelling/de-swelling reversibility and excellent salt sensitivity. The self-oscillating behavior of swelling/de-swelling for the prepared hydrogel was caused by pH alteration coupled with the external media. This study may create a new possibility as biomaterial including new self-walking actuators and other related devices.

Recent Development of Laboratory-made Solid-phase Microextraction Fibers on the Application of Food Safety Analysis

  • Zeng, Jingbin;Chen, Jinmei;Chen, Wenfeng;Huang, Xiaoli;Chen, Liangbi;Chen, Xi
    • Food Science and Biotechnology
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    • 제18권3호
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    • pp.579-585
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    • 2009
  • Solid-phase microextraction (SPME) has gained widespread acceptance in sample pretreatment due to its solvent-free and easy-to-operate properties. SPME fibers are considered as a key part of SPME technique, since it primarily determines the extraction performance of the method including sensitivity, selectivity, and reproducibility. Generally speaking, target analyte with different chemical property requires fiber coating that has the best affinity towards it. Due to the lack of varieties of commercial fibers available currently, considerable efforts have been recently made to develop tailor-made fibers to fulfill increasing demands of different analysis. This paper concisely classify some SPME fiber preparation approaches such as sol-gel technology, physical deposition, molecularly imprinted technique, and their respective application in food safety analysis.

산학협력 및 기술이전 촉진을 위한 텍스트마이닝과 사회 네트워크 분석 기반의 특허 분석 방법 (Text Mining and Social Network Analysis-based Patent Analysis Method for Improving Collaboration and Technology Transfer between University and Industry)

  • 이지형;김종우
    • 한국전자거래학회지
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    • 제22권3호
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    • pp.1-28
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    • 2017
  • 지식기반 경제에서 산학협력의 중요성이 커짐에 따라 산학협력에 대한 지원과 연구들이 증가함에도 불구하고 산학협력의 특허 성과인 기술이전 및 기술료 수입은 낮은 편인데, 그 이유는 사업화 가치가 없는 특허들을 과도하게 출원하였기 때문이다. 따라서 본 연구에서는 산학협력 및 기술이전이 가능한 특허를 분석하는 방법을 제안한다. 분석을 위한 특허데이터는 WIPSON을 통하여 4개 대학, 1,061개 특허정보를 수집하여 분석에 활용하였다. 분석 방법은 대학이 보유한 산학협력단의 미국 특허를 대상으로 Quality-Strategy Matrix를 작성하고, Matrix의 Advanced Quality Technology 영역의 특허를 대상으로 텍스트마이닝과 사회네트워크 분석을 실시한 뒤, 핵심 키워드와 IPC 코드를 도출하여 대학별 핵심특허를 분석하였다. 분석결과, H 대학은 4개의 핵심특허와 2개의 핵심 IPC 코드를 도출하였으며, K 대학의 경우 4개의 핵심특허와 2개의 핵심 IPC 코드, Y 대학의 경우 6개의 핵심특허와 1개의 핵심 IPC 코드, 마지막으로 S 대학의 경우 14개의 핵심특허와 2개의 핵심 IPC 코드를 각각 도출하였다. 본 연구는 산학협력 및 기술이전이 가능한 특허와 IPC 코드를 분석하여 대학의 산학협력의 활성화에 기여하는데 그 의의가 있다.

New generation software of structural analysis and design optimization--JIFEX

  • Gu, Yuanxian;Zhang, Hongwu;Guan, Zhenqun;Kang, Zhan;Li, Yunpeng;Zhong, Wanxie
    • Structural Engineering and Mechanics
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    • 제7권6호
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    • pp.589-599
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    • 1999
  • This paper presents the development and applications of the software package JIFEX, a new finite element system which can be used for structural analysis and optimum design by the modern computer hardware and software technologies such as MS Windows95/NT and Pentium PC platforms. The complete system of JIFEX is programmed with $C/C^{++}$ language to make full use of advanced facilities of MS Windows95/NT. In the system, the finite element data pre-processing, based on the most popular CAD package AutoCAD (R13, R14), has been implemented, so that the finite element modeling could be integrated with geometric modeling of CAD. The system not only has interactive graphics facility for data post-processing, but also realizes the real-time computing visualization by means of the Dynamic Data Exchange (DDE) technique. Running on the Pentium computers, JIFEX can solve large-scale finite element analysis problems such as the ones with more than 60000 nodes in the finite element model.