Technology from Honeywell International Inc (US) to run largest refinery in Africa

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Technology from Honeywell International Inc (US) to run largest refinery in Africa

机译：霍尼韦尔国际公司（美国）的技术将在非洲运营最大的炼油厂

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On 4 Jun 2015, UOP LLC, a Honeywell International Inc company, announced that its process technology, catalysts and proprietary equipment will form the basis for the largest refinery in Africa, reducing Nigeria's dependence on imported fuels and petrochemicals. Dangote Oil Refining Company selected UOP technology for a world-scale integrated refinery and petrochemical plant to be built in Lekki, near the capital of Lagos in southwestern Nigeria.

机译：2015年6月4日，霍尼韦尔国际公司旗下的UOP LLC宣布其工艺技术，催化剂和专有设备将成为非洲最大炼油厂的基础，从而减少尼日利亚对进口燃料和石化产品的依赖。 Dangote炼油公司选择了UOP技术，用于在尼日利亚西南部拉各斯首都附近的Lekki建立的世界规模的一体化炼油厂和石化厂。

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《Focus on Catalysts》 |2015年第8期|共1页
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正文语种 eng
中图分类催化剂（触媒）;化学动力学、催化作用;
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1. Technology from Honeywell International Inc (US) to run largest refinery in Africa [J] . Focus on Catalysts group Focus on Catalysts . 2015,第Auga期

机译：霍尼韦尔国际公司（美国）的技术将在非洲运营最大的炼油厂
2. Honeywell selected as main automation contractor for largest integrated refinery complex [J] . Suresh Kadam Process & Plant Engineering . 2019,第4期

机译：霍尼韦尔选择为最大的综合炼油厂复合物主要自动化承包商
3. Honeywell to Automate Systems for Largest Refinery [J] . Chemical Engineering World group Chemical Engineering World . 2014,第1期

机译：霍尼韦尔（中国）将为最大的炼油厂实现系统自动化
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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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8. FHWA Study of South African Pavement and Other Highway Technologies andPractices. International Technology. FHWA's Scanning Program [R] . Belancio, G., Gaj, S., Jackson, N., 1997

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Technology from Honeywell International Inc (US) to run largest refinery in Africa

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