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- Nagaraja, Ch., et al.
(författare)
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Opening remarks
- 2016
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Konferensbidrag (refereegranskat)
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| 4. |
- Kitabi, EN, et al.
(författare)
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Long-term efavirenz pharmacokinetics is comparable between Tanzanian HIV and HIV/Tuberculosis patients with the same CYP2B6*6 genotype
- 2018
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Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 8:1, s. 16316-
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Tidskriftsartikel (refereegranskat)abstract
- The impact of anti-tuberculosis co-treatment on efavirenz (EFV) exposure is still uncertain as contradictory reports exist, and the relevance of CYP2B6*6 genetic polymorphism on efavirenz clearance while on-and-off anti-tuberculosis co-treatment is not well investigated. We investigated the determinants of long-term efavirenz pharmacokinetics by enrolling HIV (n = 20) and HIV/Tuberculosis (n = 36) subjects undergoing efavirenz and efavirenz/rifampicin co-treatment respectively. Pharmacokinetic samplings were done 16 weeks after initiation of efavirenz-based anti-retroviral therapy and eight weeks after completion of rifampicin-based anti-tuberculosis treatment. Population pharmacokinetic modeling was used to characterize variabilities and covariates of efavirenz pharmacokinetic parameters. CYP2B6*6 genetic polymorphism but not rifampicin co-treatment was the statistically significant covariate. The estimated typical efavirenz clearance in the HIV only subjects with the CYP2B6*1/*1 genotype was 23.6 L/h/70 kg, while it was 38% and 69% lower in subjects with the CYP2B6*1/*6 and *6/*6 genotypes, respectively. Among subjects with the same CYP2B6 genotypes, efavirenz clearances were comparable between HIV and HIV/Tuberculosis subjects. Typical efavirenz clearances before and after completion of anti-tuberculosis therapy were comparable. In conclusion, after 16 weeks of treatment, efavirenz clearance is comparable between HIV and HIV/Tuberculosis patients with the same CYP2B6 genotype. CYP2B6 genotyping but not anti-tuberculosis co-treatment should guide efavirenz dosing to optimize treatment outcomes.
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| 5. |
- Menon, Vijay Krishna, et al.
(författare)
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A Spark (TM) Based Client for Synchrophasor Data Stream Processing
- 2018
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Ingår i: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE AND UTILITY EXHIBITION ON GREEN ENERGY FOR SUSTAINABLE DEVELOPMENT (ICUE 2018). - : Institute of Electrical and Electronics Engineers (IEEE). - 9789748257990
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Konferensbidrag (refereegranskat)abstract
- The SCADA based monitoring systems, having a very low sampling of one reading per 2-4 seconds is known to produce roughly 4.3 Tera Bytes (TiBs) of data annually. With synchrophasor technology, this will go up at least 100 times more as the rate of streaming is as high as 50/100 (60/120) Hz. Phasor data concentrators (PDCs) transmit byte streams encapsulating a comprehensive list of power system parameter including multiple phasor measurements, instantaneous frequency estimates, rate of change of frequency and several analog and digital quantities; this high volume and velocity of data makes it truly 'Big Data'. This helps in making the power grid a lot more observable, enabling real-time monitoring of crucial grid events such as voltage stability, grid stress and transient oscillations. Synchrophasor technology uses the IEEE C37.118.2-2011 (TM) Phasor Measurement Unit (PMU) /PDC communication protocol for data exchange which has no direct interface with any contemporary big data stream APIs or protocols. In this paper we propose a streaming interface in Apache Spark (TM), a popular big data platform, using Scala programming language, implementing a complete IEEE C37.118.2-2011 (TM) client inside a stream receiver so that we can effortlessly receive synchrophasor data directly to Spark (TM) applications for real-time processing and archiving.
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| 10. |
- Nithin, S., et al.
(författare)
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Development of a Real Time Data Collection Unit for distribution network in a smart grid environment
- 2014
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Ingår i: Towards Sustainable Energy, 2014 Power and Energy Systems Conference. - : IEEE Computer Society. - 9781479934201 - 9781479934218 ; , s. 6805323-
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Konferensbidrag (refereegranskat)abstract
- This paper proposes a Real Time Data Collection Unit (RTDCU) to be used in the distribution side of a smart grid for real time data collection. The RTDCU unit uses Discrete Fourier Transform (DFT) based approach to compute the voltage and current phasors and frequency of the power system signals. The design, development and testing of such a system is done for a 5-bus micro grid simulator which represents a scaled down model of approximately 25km2 grid with a peak demand of 15MW. The RTDCU unit is first simulated and tested in MATLAB environment using synthetic signals and the correctness is ensured. The unit is then implemented in hardware in a dsPIC30f4011 microcontroller and tested for different loads. The future scope of the unit and the ways to improve the performance and synchronized data collection are also discussed.
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