calculation for detecting the belonging of a secret to an interval, based on the binary decomposition approach

• 1. 一种基于区间二元语义和DEMATEL的突发事件应急管理优化策略的计算方法 [P] . 中国专利： CN110442830A . 2019-11-12
• 2. 一种基于区间运算的故障检测阈值计算方法 [P] . 中国专利： CN114115185A . 2022-03-01
• 3. Calculation for proving that a secret belongs to an interval, implementing binary decomposition [P] . 欧洲知识产权局专利： EP2045957B1 . 2011-08-17

  机译： 用于证明机密属于区间并进行二进制分解的计算

• 4. Calculation for proving that a secret belongs to an interval, implementing binary decomposition [P] . 欧洲知识产权局专利： EP2045957A1 . 2009-04-08

  机译： 用于证明秘密属于区间并执行二进制分解的计算

• 5. CALCULATION OF PROOF OF MEMBERSHIP FROM SECRET TO INTERVAL, IMPLEMENTING BINARY DECOMPOSITION [P] . 法国专利： FR2922067A1 . 2009-04-10

  机译： 计算从秘密到时间间隔的成员证明，以实现二进制分解

• 1. CALCULATION FOR KERNEL OF INTERVAL GREY NUMBER BASED ON BARYCENTER APPROACH [J] . Zeng Bo, Liu Sifeng 南京航空航天大学学报（英文版） . 2013,第002期
• 2. CALCULATION FOR KERNEL OF INTERVAL GREY NUMBER BASED ON BARYCENTER APPROACH [J] . 曾波, 刘思峰 南京航空航天大学学报：英文版 . 2013,第002期
• 3. Ehrenfest Approach to the Adiabatic Invariants and Calculation of the Intervals of Time Entering the Energy Emission Process in Simple Quantum Systems [J] . Stanis?aw Olszewski 量子信息科学期刊（英文） . 2020,第001期
• 4. The fluidization process of binary mixtures of solids: Development of the approach based on the fluidization velocity interval [J] . B. Formisani, R. Girimonte, T. Longo Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems . 2008,第2期
• 5. Stabilization of systems with interval time-varying delay based on delay decomposing approach [J] . Wei Qian, Manman Yuan, Lei Wang, ISA Transactions . 2017,第期
• 6. Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach [J] . Pourasghar Masoud, Puig Vicenc, Ocampo-Martinez Carlos International journal of systems science . 2019,第1a4期
• 7. EDA-based Decomposition Approach for Binary LSGO Problems [C] . Evgenii Sopov International Joint Conference on Computational Intelligence . 2016
• 8. Impact of sampling interval on GIS data based productivity calculations and optimal configuration and lead time of corn stover biomass harvesting teams. [D] . Powell, Levi John. 2014
• 9. A binary-based approach for detecting irregularly shaped clusters [O] . Tai-Chi Wang, Ching-Syang Jack Yue 2013
• 10. EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed TarekShahriar Abstract—An EMD-chaos based approach is proposed todiscriminate EEG signals corresponding to healthy persons,and epileptic patients during seizure-free intervals and seizureattacks. An electroencephalogram (EEG) is first empiricallydecomposed to intrinsic mode functions (IMFs). The nonlineardynamics of these IMFs are quantified in terms of the largestLyapunov exponent (LLE) and correlation dimension (CD).This chaotic analysis in EMD domain is applied to a large groupof EEG signals corresponding to healthy persons as well asepileptic patients (both with and without seizure attacks). It isshown that the values of the obtained LLE and CD exhibitfeatures by which EEG for seizure attacks can be clearlydistinguished from other EEG signals in the EMD domain.Thus, the proposed approach may aid researchers in developingeffective techniques to predict seizure activities. Index Terms—Electroencephalogram (EEG), empiricalmode decomposition (EMD), largest Lyapunov exponent (LLE),correlation dimension (CD), epileptic seizures. The Authors are with the Electrical and Electronic EngineeringDepartment, Bangladesh University of Engineering and Technology,Dhaka-1000, Bangladesh (e-mail: imamul@eee.buet.ac.bd) PDF Cite: S. M. Shafiul Alam,S. M. Shafiul Alam,Aurangozeb, and Syed Tarek Shahriar, "EEG Signal Discrimination using Non-linear Dynamics in the EMD Domain," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 326-330, 2012. PREVIOUS PAPER Perception of Emotions Using Constructive Learningthrough Speech NEXT PAPER Physical Layer Impairments Aware OVPN Connection Selection Mechanisms Copyright © 2008-2013. International Association of Computer Science and Information Technology Press (IACSIT Press) [O] . S. M. Shafiul Alam, Syed TarekShahriar 2012
• 11. Microscale Heat Transfer Enhancement using Spinodal Decomposition of Binary Liquid Mixtures: A Collaborative Modeling/Experimental Approach. [R] . Beretta, G. P., Poesio, P. 2013

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• 4. 基于二元多项式的秘密共享方案研究 [A] . 张逸凡 . 2018