electrical glühtopf.

• 1. glmS核糖开关、根据glmS核糖开关的基于结构的化合物设计和glmS核糖开关的使用方法和具有glmS核糖开关的组合物 [P] . 中国专利： CN101553578A . 2009-10-07
• 2. 一种MGL冻干辅助制剂、MGL冻干粉及MGL冻干方法 [P] . 中国专利： CN109847056A . 2019-06-07
• 3. glühtopf. [P] . 瑞士专利： CH297919A . 1954-04-15

  机译： 辉光壶。

• 4. schmiedeeiserner glühtopf. [P] . AT103063B . 1926-04-10

  机译： 铁艺辉光壶。

• 5. ELECTRICAL ANGLE ACQUISITION SYSTEM, ELECTRICAL ANGLE ACQUISITION METHOD, ELECTRICAL ANGLE ACQUISITION PROGRAM, ELECTRICAL ANGLE ACQUISITION CHARACTERISTIC MEASUREMENT SYSTEM, ELECTRICAL ANGLE ACQUISITION CHARACTERISTIC MEASUREMENT METHOD, AND ELECTRICAL ANGLE ACQUISITION CHARACTERISTIC MEASUREMENT PROGRAM [P] . 世界知识产权组织专利： WO2019093074A1 . 2019-05-16

  机译： 电气角度采集系统，电气角度采集方法，电气角度采集程序，电气角度采集特性测量系统，电气角度采集特性测量方法和电气角度采集特性测量程序

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• 5. Development of implantable glucose sensors based on electrically "wired" glucose oxidase. [D] . Schmidtke, David William. 1997
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• 7. 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

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