Relevant bibliographies by topics / RFI

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'RFI'

Author: Grafiati
Published: 4 June 2021
Last updated: 20 February 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'RFI.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "RFI"

1

Santana, Miguel Henrique de Almeida, Paulo Rossi Junior, Rodrigo de Almeida, and Amanda Massaneira de Souza Schuntzemberger. "Blood cell and metabolic profile of Nellore bulls and their correlations with residual feed intake and feed conversion ratio." Revista Brasileira de Saúde e Produção Animal 14, no. 3 (September 2013): 527–37. http://dx.doi.org/10.1590/s1519-99402013000300018.

Full text
Abstract:
Due to the potential metabolic changes related to the residual feed intake (RFI), this study investigated the correlation of traditional RFI (RFI1), RFI adjusted for final rump fat thickness (RFI2) and feed conversion ratio (FCR) with the metabolic and blood profiles, as well as determined the possible different classes of RFI1 and RFI2. For this purpose, 46 Nellore bulls, 22 month-old and 411kg of weight at the beginning of the study were used. The animals were fed with the same diet for 84 days, and blood samples were collected every 21 days for evaluation of serum metabolites and blood cell profiles. No significant correlations were found between FCR and metabolic or blood traits, although there was a significant correlation between RFI1 and urea serum concentration. There were also differences between the RFI classes for creatinine, in which more efficient animals showed higher values. The RFI2 did not correlate with any metabolic and blood cell variable, but young bulls with smaller RFI2 had a smaller number of eosinophils when compared to animals with higher RFI2. These results suggest that animals with a high RFI can have greater energy expenditure due to protein synthesis and degradation process, resulting in a larger blood urea level.
APA, Harvard, Vancouver, ISO, and other styles
2

Santiago, Kier Gumangan, Bryan Irvine Lopez, Sung-Hoon Kim, Dong-Hui Lee, Young-Gyu Cho, Yu-Na Song, and Kang-Seok Seo. "Genetic Parameters for Different Measures of Feed Efficiency and Their Relationship to Production Traits in Three Purebred Pigs." Life 11, no. 8 (August 13, 2021): 830. http://dx.doi.org/10.3390/life11080830.

Full text
Abstract:
Residual feed intake (RFI) gained attention as a potential alternative to the feed conversion ratio (FCR). Thus, this study aimed to estimate genetic parameters for different feed efficiency (FE) traits (FCR, RFI1 to RFI5) and their genetic correlation to on-test daily weight gain (ADG), backfat (BFT), loin muscle area (LMA), lean percentage (LP), and total feed intake (FI) for 603 Male Duroc (DD), 295 Landrace (LL), and 341 Yorkshire (YY). The common spatial pen effect was also estimated in these traits. Five RFI measures were estimated by regressing daily feed intake on initial testing age (ITA), initial testing weight (IBW), and ADG for RFI1; other models were the same as RFI1 except for additional BFT for RFI2; LMA for RFI3; BFT and LMA for RFI4; BFT, LMA, and average metabolic body weight (AMBW) instead of IBW for RFI5. Genetic parameters estimated using two animal models and the REML method showed moderate heritability for FCR in all breeds (0.22 and 0.28 for DD, 0.31 and 0.39 for LL, 0.17 and 0.22 for YY), low heritability for the majority of RFI measures in DD (0.15 to 0.23) and YY (0.14 to 0.20) and moderate heritability for all RFI measures in LL (0.31 to 0.34). Pen variance explained 7% to 22% for FE and 0% to 9% for production traits’ phenotypic variance. The genetic correlation revealed that selection against less complex RFI1 in DD and LL and RFI2 in YY would bring the most advantageous reduction to FI (0.71 for DD, 0.49 for LL, 0.43 YY) without affecting ADG in all breeds (0.06 for DD, −0.11 for LL, 0.05 for YY), decrease in BFT, and increase in LP in DD (0.51 in BFT, −0.77 in LP) and LL (0.45 in BFT, −0.83 in LP). Therefore, inclusion of these breed-specific RFI measures in the future selection criteria would help improve feed efficiency in the swine industry.
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Hengrui, Lin Min, Jing Lu, Jike Chang, Zhengwei Guo, and Ning Li. "An Improved RFI Mitigation Approach for SAR Based on Low-Rank Sparse Decomposition: From the Perspective of Useful Signal Protection." Remote Sensing 14, no. 14 (July 7, 2022): 3278. http://dx.doi.org/10.3390/rs14143278.

Full text
Abstract:
As an open system, synthetic aperture radar (SAR) inevitably receives radio frequency interference (RFI) generated by electromagnetic equipment in the same band. The existence of RFI seriously affects SAR signal processing and image interpretation. In recent years, many algorithms and models related to RFI mitigation have been proposed. However, most of that focus on effectively mitigating the RFI is insufficient to protect the useful signals. This article proposes a mitigation method of RFI with a signal-protected capability. (1) The kurtosis coefficient is used to detect RFI pulse-by-pulse, and the echoes containing RFI are stored in matrix form. (2) The preliminary extraction of RFI is complete by low-rank sparse decomposition of the echo matrix containing RFI. (3) For the secondary separation of RFI, the accurate position of RFI in the preliminary extraction results is located by the fuzzy C-means clustering; then, we separate the RFI and the remaining useful signals again and reconstruct the useful signals to complete the mitigation work. The proposed method can further protect useful signals while effectively removing interference through the secondary separation of RFI. Experimental results based on simulated and measured data verify the performance and potential of the proposed method.
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang, Chuan-Peng, Jin-Long Xu, Jie Wang, Yingjie Jing, Ziming Liu, Ming Zhu, and Peng Jiang. "Radio Frequency Interference Mitigation and Statistics in the Spectral Observations of FAST." Research in Astronomy and Astrophysics 22, no. 2 (February 1, 2022): 025015. http://dx.doi.org/10.1088/1674-4527/ac3f2d.

Full text
Abstract:
Abstract In radio astronomy, radio frequency interference (RFI) becomes more and more serious for radio observational facilities. The RFI always influences the search and study of the interesting astronomical objects. Mitigating the RFI becomes an essential procedure in any survey data processing. The Five-hundred-meter Aperture Spherical radio Telescope (FAST) is an extremely sensitive radio telescope. It is necessary to find out an effective and precise RFI mitigation method for FAST data processing. In this work, we introduce a method to mitigate the RFI in FAST spectral observation and make a statistic for the RFI using ∼300 h FAST data. The details are as follows. First, according to the characteristics of FAST spectra, we propose to use the Asymmetrically Reweighted Penalized Least Squares algorithm for baseline fitting. Our test results show that it has a good performance. Second, we flag the RFI with four strategies, which are to flag extremely strong RFI, flag long-lasting RFI, flag polarized RFI, and flag beam-combined RFI, respectively. The test results show that all the RFI above a preset threshold could be flagged. Third, we make a statistic for the probabilities of polarized XX and YY RFI in FAST observations. The statistical results could tell us which frequencies are relatively quiescent. With such statistical data, we are able to avoid using such frequencies in our spectral observations. Finally, based on the ∼300 h FAST data, we obtained an RFI table, which is the most complete database currently for FAST.
APA, Harvard, Vancouver, ISO, and other styles
5

Xie, Yunyi, Chao Miao, Yi Lu, Huizeng Sun, and Jianxin Liu. "Nitrogen metabolism and mammary gland amino acid utilization in lactating dairy cows with different residual feed intake." Animal Bioscience 34, no. 10 (October 1, 2021): 1600–1606. http://dx.doi.org/10.5713/ab.20.0821.

Full text
Abstract:
Objective: This study was conducted to enhance our understanding of nitrogen (N) metabolism and mammary amino acid (AA) utilization in lactating cows with divergent phenotypes of residual feed intake (RFI).Methods: Fifty-three multiparous mid-lactation Holstein dairy cows were selected for RFI measurements over a 50-d experimental period. The 26 cows with the most extreme RFI values were classified into the high RFI (n = 13) and low RFI (n = 13) groups, respectively, for analysis of N metabolism and AA utilization.Results: Compared with the high RFI cows, the low RFI animals had lower dry matter intake (p<0.01) with no difference observed in milk yield between the two groups (p> 0.10). However, higher ratios of milk yield to dry matter intake (p<0.01) were found in the low RFI cows than in the high RFI cows. The low RFI cows had significant greater ratios of milk protein to metabolizable protein (p = 0.02) and milk protein to crude protein intake than the high RFI cows (p = 0.01). The arterial concentration and mammary uptake of essential AA (p<0.10), branched-chain AA (p<0.10), and total AA (p<0.10) tended to be lower in the low RFI cows. Additionally, the low RFI cows tended to have a lower ratio of AA uptake to milk output for essential AA (p = 0.08), branched-chain AA (p = 0.07) and total AA (p = 0.09) than the high RFI cows.Conclusion: In summary, both utilization of metabolizable protein for milk protein and mammary AA utilization are more efficient in cows with lower RFI than in the high RFI cows. Our results provide new insight into the protein metabolic processes (related to N and AA) involved in feed efficiency.
APA, Harvard, Vancouver, ISO, and other styles
6

Prudhomme, Christel, Simon Parry, Jamie Hannaford, Douglas B. Clark, Stefan Hagemann, and Frank Voss. "How Well Do Large-Scale Models Reproduce Regional Hydrological Extremes in Europe?" Journal of Hydrometeorology 12, no. 6 (December 1, 2011): 1181–204. http://dx.doi.org/10.1175/2011jhm1387.1.

Full text
Abstract:
Abstract This paper presents a new methodology for assessing the ability of gridded hydrological models to reproduce large-scale hydrological high and low flow events (as a proxy for hydrological extremes) as described by catalogues of historical droughts [using the regional deficiency index (RDI)] and high flows [regional flood index (RFI)] previously derived from river flow measurements across Europe. Using the same methods, total runoff simulated by three global hydrological models from the Water Model Intercomparison Project (WaterMIP) [Joint U.K. Land Environment Simulator (JULES), Water Global Assessment and Prognosis (WaterGAP), and Max Planck Institute Hydrological Model (MPI-HM)] run with the same meteorological input (watch forcing data) at the same spatial 0.5° grid was used to calculate simulated RDI and RFI for the period 1963–2001 in the same European regions, directly comparable with the observed catalogues. Observed and simulated RDI and RFI time series were compared using three performance measures: the relative mean error, the ratio between the standard deviation of simulated over observed series, and the Spearman correlation coefficient. Results show that all models can broadly reproduce the spatiotemporal evolution of hydrological extremes in Europe to varying degrees. JULES tends to produce prolonged, highly spatially coherent events for both high and low flows, with events developing more slowly and reaching and sustaining greater spatial coherence than observed—this could be due to runoff being dominated by slow-responding subsurface flow. In contrast, MPI-HM shows very high variability in the simulated RDI and RFI time series and a more rapid onset of extreme events than observed, in particular for regions with significant water storage capacity—this could be due to possible underrepresentation of infiltration and groundwater storage, with soil saturation reached too quickly. WaterGAP shares some of the issues of variability with MPI-HM—also attributed to insufficient soil storage capacity and surplus effective precipitation being generated as surface runoff—and some strong spatial coherence of simulated events with JULES, but neither of these are dominant. Of the three global models considered here, WaterGAP is arguably best suited to reproduce most regional characteristics of large-scale high and low flow events in Europe. Some systematic weaknesses emerge in all models, in particular for high flows, which could be a product of poor spatial resolution of the input climate data (e.g., where extreme precipitation is driven by local convective storms) or topography. Overall, this study has demonstrated that RDI and RFI are powerful tools that can be used to assess how well large-scale hydrological models reproduce large-scale hydrological extremes—an exercise rarely undertaken in model intercomparisons.
APA, Harvard, Vancouver, ISO, and other styles
7

Ding, Yi, Weiwei Fan, Zijing Zhang, Feng Zhou, and Bingbing Lu. "Radio Frequency Interference Mitigation for Synthetic Aperture Radar Based on the Time-Frequency Constraint Joint Low-Rank and Sparsity Properties." Remote Sensing 14, no. 3 (February 7, 2022): 775. http://dx.doi.org/10.3390/rs14030775.

Full text
Abstract:
Synthetic aperture radar (SAR) is susceptible to radio frequency interference (RFI), which becomes especially commonplace in the increasingly complex electromagnetic environments. RFI severely detracts from SAR imaging quality, which hinders image interpretation. Therefore, some RFI mitigation algorithms have been introduced based on the partial features of RFI, but the RFI reconstruction models in these algorithms are rough and can be improved further. This paper proposes two algorithms for accurately modeling the structural properties of RFI and target echo signal (TES). Firstly, an RFI mitigation algorithm joining the low-rank characteristic and dual-sparsity property (LRDS) is proposed. In this algorithm, RFI is treated as a low-rank and sparse matrix, and the sparse matrix assumption is made for TES in the time–frequency (TF) domain. Compared with the traditional low-rank and sparse models, it can achieve better RFI mitigation performance with less signal loss and accelerated algorithm convergence. Secondly, the other RFI mitigation algorithm, named as TFC-LRS, is proposed to further reduce the signal loss. The TF constraint concept, in lieu of the special sparsity, is introduced in this algorithm to describe the structural distribution of RFI because of its aggregation characteristic in the TF spectrogram. Finally, the effectiveness, superiority, and robustness of the proposed algorithms are verified by RFI mitigation experiments on the simulated and measured SAR datasets.
APA, Harvard, Vancouver, ISO, and other styles
8

Cohen-Zinder, Miri, Aviv Asher, Ehud Lipkin, Roi Feingersch, Rotem Agmon, David Karasik, Arieh Brosh, and Ariel Shabtay. "FABP4is a leading candidate gene associated with residual feed intake in growing Holstein calves." Physiological Genomics 48, no. 5 (May 2016): 367–76. http://dx.doi.org/10.1152/physiolgenomics.00121.2015.

Full text
Abstract:
Ecological and economic concerns drive the need to improve feed utilization by domestic animals. Residual feed intake (RFI) is one of the most acceptable measures for feed efficiency (FE). However, phenotyping RFI-related traits is complex and expensive and requires special equipment. Advances in marker technology allow the development of various DNA-based selection tools. To assimilate these technologies for the benefit of RFI-based selection, reliable phenotypic measures are prerequisite. In the current study, we identified single nucleotide polymorphisms (SNPs) associated with RFI phenotypic consistency across different ages and diets (named RFI 1–3), using DNA samples of high or low RFI ranked Holstein calves. Using targeted sequencing of chromosomal regions associated with FE- and RFI-related traits, we identified 48 top SNPs significantly associated with at least one of three defined RFIs. Eleven of these SNPs were harbored by the fatty acid binding protein 4 ( FABP4). While 10 significant SNPs found in FABP4 were common for RFI 1 and RFI 3, one SNP (FABP4_5; A<G substitution), in the promoter region of the gene, was significantly associated with all three RFIs. As the three RFI classes reflect changing diets and ages with concomitant RFI phenotypic consistency, the above polymorphisms and in particular FABP4_5, might be considered possible markers for RFI-based selection for FE in the Holstein breed, following a larger-scale validation.
APA, Harvard, Vancouver, ISO, and other styles
9

Oliveira, L. F., A. C. Ruggieri, R. H. Branco, O. L. Cota, R. C. Canesin, H. J. U. Costa, and M. E. Z. Mercadante. "Feed efficiency and enteric methane production of Nellore cattle in the feedlot and on pasture." Animal Production Science 58, no. 5 (2018): 886. http://dx.doi.org/10.1071/an16303.

Full text
Abstract:
The objective of the present study was to assess the relationship between residual feed intake (RFI) evaluated in a feedlot-performance test and on pasture, and to determine the effect of feedlot RFI classification on enteric methane (CH4) production in the feedlot and on pasture. Seventy-three animals (25 with a low RFI, 24 with a medium RFI and 24 with a high RFI) classified in a feedlot performance test were subjected to performance testing on Brachiaria brizantha cv. Marandu pasture. Enteric CH4 was measured in a sample of these animals (n = 47, with high and low RFI) by the sulfur hexafluoride tracer-gas technique after the feedlot-performance test and during the performance test on pasture. In the feedlot-performance test, dry-matter intake (DMI) of low-RFI animals was 9.4% and 19.7% lower (P < 0.05) than that of medium- and high-RFI animals respectively. However, there was no difference in DMI and, consequently, in RFI on pasture among animals classified as low, medium and high RFI. Accordingly, there is evidence of re-ranking of animals for RFI performance tested in the feedlot after weaning and, subsequently, on pasture. During the period of enteric CH4 measurement in the feedlot and on pasture, the DMI, neutral detergent-fibre intake and gross-energy intake of low-RFI animals were lower than those of high-RFI animals, and low-RFI animals exhibited greater DM and neutral detergent fibre digestibility only in the feedlot. Enteric CH4 production did not differ between low- and high-RFI animals either in the feedlot (101 and 107 g CH4/day) or on pasture (101 and 95.9 g CH4/day). A significant difference in CH4 yield (CH4/kg DMI) was observed on pasture between animals with low and high RFI (17.6 and 13.7 g CH4/kg DMI respectively). The results did not support the hypothesis that an increase in feed efficiency, evaluated in growing animals in feedlot-performance tests, decreases enteric CH4 production (g/day) proportionally to the lower DMI.
APA, Harvard, Vancouver, ISO, and other styles
10

Holló, Gabriella, Henrietta Nagy-Kiszlinger, János Tossenberger, Márton Török, and Balázs Húth. "Individual Feed Efficiency Monitoring of Charolaise Candidate Young Bulls in Relation to Feeding Behavior and Self-Performance Test Results." Animals 12, no. 1 (December 24, 2021): 35. http://dx.doi.org/10.3390/ani12010035.

Full text
Abstract:
This study evaluated the effect of differences in residual feed intake (RFI) of Charolaise candidate young bulls on feeding behavior and self-performance test results. Bulls were classified into high and low RFI (H-RFI, L-RFI) groups. Bulls were fed in a HOKOFARM system to measure individual animal intake and behavior. L-RFI bulls had significantly lower feed intakes (p = 0.002) and higher gain to feed ratio (p = 0.001), lower intake per day/kg DM (dry matter) (p = 0.002) and lower intake g/body weight/day (p < 0.001). L-RFI animals had lower visits number per day (p = 0.02), but spent longer time per visit (p = 0.02), and tended to have higher intake g/visit (p = 0.06) on feeders. The correlation between RFI and DMI (dry matter intake)/bodyweight/day as well as intake per day/kg were large and positive. Back-loin length and rump length, and moreover muzzle width and frame, showed negative correlations with RFI value. However, bulls with better RFI values associated with lower legs score. Results reveal that RFI was shown beneficial correlations with economically relevant self-performance traits. Further investigations are needed to seek additional indicator traits that are predictive for RFI.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "RFI"

1

Wu, Lingling. "Surface processing by RFI PECVD and RFI PSII." W&M ScholarWorks, 2000. https://scholarworks.wm.edu/etd/1539623997.

Full text
Abstract:
An RFI plasma enhanced chemical vapor deposition (PECVD) system and a large-scale RF plasma source immersion ion implantation (PSII) system were designed and built to study two forms of 3-D surface processing, PECVD and PSII. Using the RFI PECVD system, Ti-6Al-4V substrates were coated with diamond-like carbon films with excellent tribological and optical properties. as an innovation, variable angle spectroscopic ellipsometry (VASE) was successfully applied for non-destructive, 3-D, large-area tribological coatings quality investigation.;Based on the experience with the RFI PECVD system, a large-scale RFICP source was designed and built for the PSIL Langmuir probe and optical emission spectroscopy studies indicated that the RFI source produced stable, uniform, and clean plasma. MAGIC code was for the first time used to model PSII process, addressing different target geometries and boundaries, materials, plasma parameters, illustrated sheath formation and evolution, field distribution, ion and electron trajectories, ion incident angles, and dose distributions, which are critical for PSII design and understanding.;The RF PSII system was developed into a versatile large-area, uniform, 3-D surface processing apparatus, capable of PSII, PVD, PECVD, and in situ surface cleaning and interface properties modification, for multilayer, multi-step, and high performance surface engineering. Using the RFI PSII system, for the first time, PSII was studied as a mask-based surface layer conversion technique, for pattern writing by implantation as an alternative to current deposition-based and ink-based direct write technologies. It operates at low substrate temperature, keeps the original surface finish and dimensions, and avoids adhesion problem. A different operating mode of the RF source was discovered to perform biased sputtering of high purity quartz, which turned the RFI PSII system into a novel integrated RF PSII/PVD system for large-area, uniform, nitrogen-doped, and hydrogen-free SiO2 films deposition at low substrate temperatures. Nitrogen-doped SiO2 films with excellent optical properties were deposited on semiconductor, metal, and polymer substrates with excellent adhesion. Ellipsometry was used again for non-destructive SiO2 coatings investigation. FEL test electrodes processed by PSII/PVD showed suppressed field emission. A group of transition metals and an FEL test electrode were also implanted by nitrogen using the PSII mode and analyzed.
APA, Harvard, Vancouver, ISO, and other styles
2

Signé, Elisabeth. "Réactivité radicalaire de RFI, RFH et RFC2H4I : application à la synthèse." Montpellier 2, 1992. http://www.theses.fr/1992MON20253.

Full text
Abstract:
Un chapitre bibliographique situe la reactivite radicalaire des composes r#fi, r#fh et r#fch#2ch#2i (r#f: c#nf#2#n#+#1 lineaire, n = 2,4,6,8). Il est ensuite decrit la synthese originale de r#fbr et r#fcl a partir de r#fi et r#fh mis en presence a 160 et 300c d'agents bromants et chlorants notamment cbr#4 et ccl#4 (chapitre 2). Enfin, une synthese amelioree de r#fch#2ch#2oh a pu etre effectuee par reaction de r#fch#2ch#2i avec des amides en presence d'initiateurs radicalaires (etudes cinetiques aspects mecanistique) (chapitre 3)
APA, Harvard, Vancouver, ISO, and other styles
3

Thompson, Nicholas Christopher. "RFI mitigation in radio astronomy." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86637.

Full text
Abstract:
Thesis (MEng)--Stellenbosch University, 2014.
ENGLISH ABSTRACT: Technical advances in electromagnetics, signal processing and processing power have led to a significant increase in sensitivity and accuracy in radio telescopes. With this increase in sensitivity, radio frequency interference (RFI) has become a much larger problem. The notable growth in wireless communication as well as self generated RFI has further escalated this problem. In order to utilise the full capabilities of modern radio telescopes, RFI mitigation is required on the captured signals. With the enormous data rates of modern radio telescopes, managing RFI has become increasingly difficult, and in order to utilise the full captured radio spectrum, more accurate RFI mitigation strategies will be necessary. The use of different RFI mitigation strategies is studied in the form of online and offline techniques. This includes Spectral Kurtosis, Spectral Flatness and the Var/SumThreshold method. The special case for RFI mitigation in timing pulsars will also be studied. These techniques are well known in the radio astronomy community; here, spectral kurtosis and spectral flatness will be implemented on the raw data as well as the post correlated data. System speed and accuracy will be the deciding factors when testing these methods as possible solutions to this problem.
AFRIKAANSE OPSOMMING: ‘n Toename in die sensitiwiteit van hedendagse radioteleskope kan toegedra word aan die tegniese bevordering in elktromagnetika en seinverwerking. Die toename in sensitiwiteit het egter tot die gevolg dat radiofrekwensiesteuring ‘n groter rol speel in hedendaagse radioteleskope. Die groei in die gebruik van radioverbindings asook die gevolge van self gei¨nduseerde radiofrekwensiesteuring dra ook verder by tot hierdie probleem. Radiofrekwensiesteuring matiging word toegepas op die opgevangde seine, om sodoende gebruik te maak van die volle kapasiteit van moderne radioteleskope. Die bestuur van radiofrekwensiesteuring word bemoeilik deur die groot hoeveelheid intydse data van die radioteleskope. Meer akurate radiofrekwensiesteuring matigingstegnieke word vereis om die bandwydte ten volle te hanteer. Daar word op ‘n aantal verskillende matingstegnieke gefokus. Hierdie tegenieke kan in twee kategorieë verdeel word, naamlik aanlyn- en aflyntegenieke. Onderafdelings van hierdie kategorieë sluit in: spektrale kurtose, spektrale matheid en “Var/SumThreshold”. Daar word ook na ‘n spesiale geval van radiofrekwensiesteuring matiging gekyk, in die opmeeting van tydsberekening-pulsars. Alhoewel hierdie tegnieke bekend is in die radioastronomie gemeenskap, word spektrale kurtose en spektrale matheid egter toegepas op die rou data sowel as postgekorreleerde data. Daar sal op stelsel spoed en akuratheid gefokus word, om vas te stel of hierdie metodes wel moontlike oplossings bied tot die probleem bespreek.
APA, Harvard, Vancouver, ISO, and other styles
4

Czech, Daniel Josef. "Time domain classification of transient RFI." Doctoral thesis, Faculty of Engineering and the Built Environment, 2019. http://hdl.handle.net/11427/30071.

Full text
Abstract:
Since the emergence of radio astronomy as a field, it has been afflicted by radio frequency interference (RFI). RFI continues to present a problem despite increasingly sophisticated countermeasures developed over the decades. Due to technological improvements, radio telescopes have become more sensitive (for example, MeerKAT’s L-band receiver). Existing RFI has become more prominent as a result. At the same time, the prevalence of RFI-generating devices has increased as new technologies have been adopted by society. Many approaches have been developed for mitigating RFI, which are typically used in concert. New telescope arrays are often built far from human habitation in radio-quiet reserves. In South Africa, a radio-quiet reserve has been established in which several world class instruments are under construction. Despite the remote location of the reserve, careful attention is paid to the possibility of RFI. For example, some instruments will begin observations while others are still under construction. The infrastructure and equipment related to the construction work may increase the risk of RFI, especially transient RFI. A number of mitigation strategies have been employed, including the use of fixed and mobile RFI monitoring stations. Such stations operate independently of the main telescope arrays and continuously monitor a wide bandwidth in all directions. They are capable of recording spectra and high resolution time domain captures of transient RFI. Once detected, and if identified, an RFI source can be found and dealt with. The ability to identify the sources of detected RFI would be highly beneficial. Continuous wave intentional transmissions (telecommunication signals for example) are easily identified as they are required to adhere to allocated frequency bands. Transient RFI signals, however, are significantly more challenging to identify since they are generally broadband and highly intermittent. Transient RFI can be generated as a by-product of the normal operation of devices such as relays, AC machines and fluorescent lights, for example. Such devices may be present near radio telescope arrays as part of the infrastructure or equipment involved in the construction of new instruments. Other than contaminating observation data, transient RFI can also appear to have genuine astronomical origins. In one case, transient signals received from a microwave oven exhibited dispersion, suggesting a distant source. Therefore, the ability to identify transient RFI by source would be enormously valuable. Once identified, such sources may be removed or replaced where possible. Despite this need, there is a paucity of work on classifying transient RFI in the literature. This thesis focusses on the problem of identifying transient RFI by source in time domain data of the type captured by remote monitoring stations. Several novel approaches are explored in this thesis. If used with independent RFI monitoring stations, these approaches may aid in tracking down nearby RFI sources at a radio telescope array. They may also be useful for improving RFI flagging in data from radio telescopes themselves. Distinguishing between transient RFI and natural astronomical signals is likely to be an easier prospect than classifying transient RFI by source. Furthermore, these approaches may be better able to avoid excising genuine astronomical transients that nevertheless share some characteristics with RFI signals. The radio telescopes themselves are significantly more sensitive than RFI monitoring stations, and would thus be able to detect RFI sources more easily. However, terrestrial RFI would likely enter via sidelobes, tempering this advantage somewhat. In this thesis, transient RFI is first characterised, prior to classification by source. Labelled time-domain recordings of a number of transient RFI sources are acquired and statistically examined. Second, components analysis techniques are considered for feature selection. Cluster separation is analysed for principal components analysis (PCA) and kernel PCA, the latter proving most suitable. The effect of the supply voltage of certain RFI sources on cluster separation in the principal components domain is also explored. Several na¨ıve classification algorithms are tested, using kernel PCA for feature selection A more sophisticated dictionary-based approach is developed next. While there are variations in repeated recordings of the same RFI source, the signals tend to adhere to a common overarching structure. Full RFI signals are observed to consist of sequences of individual transients. An algorithm is presented to extract individual transients from full recordings, after which they are labelled using unsupervised clustering methods. This procedure results in a dictionary of archetypal transients, from which any full RFI sequence may be represented. Some approaches in Automated Speech Recognition (ASR) are similar: spoken words are divided into individual labelled phonemes. Representing RFI signals as sequences enables the use of hidden Markov models (HMMs) for identification. HMMs are well suited to sequence identification problems, and are known for their robustness to variation. For example, in ASR, HMMs are able to handle the variations in repeated utterances of the same word. When classifying the recorded RFI signals, good accuracy is achieved, improving on the results obtained using the more na¨ıve methods. Finally, a strategy involving deep learning techniques is explored. Recurrent neural networks and convolutional neural networks (CNNs) have shown great promise in a wide variety of classification tasks. Here, a model is developed that includes a pre-trained CNN layer followed by a bidirectional long short-term memory (BLSTM) layer. Special attention is paid to mitigating class imbalance when the model is used with individual transients extracted from full recordings. High classification accuracy is achieved, improving on the dictionary-based approach and the other na¨ıve methods. Recommendations are made for future work on developing these approaches further for practical use with remote monitoring stations. Other possibilities for future research are also discussed, including testing the robustness of the proposed approaches. They may also prove useful for RFI excision in observation data from radio telescopes.
APA, Harvard, Vancouver, ISO, and other styles
5

Schollar, Christopher. "RFI Monitoring for the MeerKAT Radio Telescope." Thesis, University of Cape Town, 2015. http://pubs.cs.uct.ac.za/archive/00001042/.

Full text
Abstract:
South Africa is currently building MeerKAT, a 64 dish radio telescope array, as a pre-cursor for the proposed Square Kilometre Array (SKA). Both telescopes will be located at a remote site in the Karoo with a low level of Radio Frequency Interference (RFI). It is important to maintain a low level of RFI to ensure that MeerKAT has an unobstructed view of the universe across its bandwidth. The only way to effectively manage the environment is with a record of RFI around the telescope. The RFI management team on the MeerKAT site has multiple tools for monitoring RFI. There is a 7 dish radio telescope array called KAT7 which is used for bi-weekly RFI scans on the horizon. The team has two RFI trailers which provide a mobile spectrum and transient measurement system. They also have commercial handheld spectrum analysers. Most of these tools are only used sporadically during RFI measurement campaigns. None of the tools provided a continuous record of the environment and none of them perform automatic RFI detection. Here we design and implement an automatic, continuous RFI monitoring solution for MeerKAT. The monitor consists of an auxiliary antenna on site which continuously captures and stores radio spectra. The statistics of the spectra describe the radio frequency environment and identify potential RFI sources. All of the stored RFI data is accessible over the web. Users can view the data using interactive visualisations or download the raw data. The monitor thus provides a continuous record of the RF environment, automatically detects RFI and makes this information easily accessible. This RFI monitor functioned successfully for over a year with minimal human intervention. The monitor assisted RFI management on site during RFI campaigns. The data has proved to be accurate, the RFI detection algorithm shown to be effective and the web visualisations have been tested by MeerKAT engineers and astronomers and proven to be useful. The monitor represents a clear improvement over previous monitoring solutions used by MeerKAT and is an effective site management tool.
APA, Harvard, Vancouver, ISO, and other styles
6

Moore, Thomas Dean. "Analytic Study of Space-Time and Space-Frequency Adaptive Processing for Radio Frequency Interference Suppression." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1037380239.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Lefebvre, Pierre D. "Adaptive multiple sub-band common mode RFI suppression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58475.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Mngadi, Andile. "L-band RFI measurement system simulation and investigation." Master's thesis, University of Cape Town, 2007. http://hdl.handle.net/11427/5158.

Full text
Abstract:
Includes bibliographical references (leaves 53-54)
The Square Kilometre Array (SKA) is a multi billion dollar international project to create a receiving surface of a million square metres, one hundred times larger than the biggest receiving surface now in existence. The SKA core array will have to be located in a remote area. Therefore countries interested in hosting the SKA core array were requested to perform Radio Frequency Interference measurements at their site of choice. The systems that are to be used in the measurements must conform to a document called the "RFI Measurement Protocol for Candidates SKA Sites", the SKA Memo 37. The RFI protocol divides measurements into two parts, Mode 1 and Mode 2. Mode 1 is defined for the observation of strong RFI and is relevant for SKA receiver linearity analysis. Mode 2 is defined for the observation of weak interferences, which potentially threatens to obscure weak signals of interest. In Mode 1, the RFI protocol specifies a dwell time of 2μS duration over a large 1 MHz bandwidth in the 960 -1400 MHz band (L-band). The reason for this short dwell time is to capture and characterize pulsed interference from radars and Distance Measuring Equipment (DME) in this band. This kind of interference is expected, potentially with very high peak power and short dwell time. Executing these measurements with the spectrum analyzer is impractical because of the very long measurement times. It was therefore proposed to build a dedicated FFT spectrometer from standard components, state of the art FPGA board with a high speed 14 bit ADC.
APA, Harvard, Vancouver, ISO, and other styles
9

Dong, Weizhen. "Time Blanking for GBT Data with RADAR RFI." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd468.pdf.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Staats, Kai. "Genetic programming applied to RFI mitigation in radio astronomy." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/23703.

Full text
Abstract:
Genetic Programming is a type of machine learning that employs a stochastic search of a solutions space, genetic operators, a fitness function, and multiple generations of evolved programs to resolve a user-defined task, such as the classification of data. At the time of this research, the application of machine learning to radio astronomy was relatively new, with a limited number of publications on the subject. Genetic Programming had never been applied, and as such, was a novel approach to this challenging arena. Foundational to this body of research, the application Karoo GP was developed in the programming language Python following the fundamentals of tree-based Genetic Programming described in "A Field Guide to Genetic Programming" by Poli, et al. Karoo GP was tasked with the classification of data points as signal or radio frequency interference (RFI) generated by instruments and machinery which makes challenging astronomers' ability to discern the desired targets. The training data was derived from the output of an observation run of the KAT-7 radio telescope array built by the South African Square Kilometre Array (SKA-SA). Karoo GP, kNN, and SVM were comparatively employed, the outcome of which provided noteworthy correlations between input parameters, the complexity of the evolved hypotheses, and performance of raw data versus engineered features. This dissertation includes description of novel approaches to GP, such as upper and lower limits to the size of syntax trees, an auto-scaling multiclass classifier, and a Numpy array element manager. In addition to the research conducted at the SKA-SA, it is described how Karoo GP was applied to fine-tuning parameters of a weather prediction model at the South African Astronomical Observatory (SAAO), to glitch classification at the Laser Interferometer Gravitational-wave Observatory (LIGO), and to astro-particle physics at The Ohio State University.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "RFI"

1

Schlecher, Melvin. EMI/RFI: Material and technologies. Norwalk, CT: Business Communications Co., 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Berchoud, Marie J. RFI et ses auditeurs: "chers émetteurs...". Paris: L'Harmattan, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zzaap!: Taming ESD, RFI, and EMI. San Diego: Academic Press, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
4

RFI et ses auditeurs: Chers émetteurs. Paris, France: Harmattan, 2001.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Kam-Wing. RFI effects on CMOS latch circuits. Ottawa: National Library of Canada, 1992.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

ADMINISTRATION, FEDERAL AVIATION. Radio frequency interference (RFI) project implementation plan. [Washington, D.C.?]: Dept. of Transportation, Federal Aviation Administration, 1994.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kibbel, Howard. EMI/RFI shielding: Material and technological issues in the 1990s. Norwalk, CT: Business Communications Co., 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Le vent qui souffle dans la boîte: De la coopération radiophonique aux coulisses de RFI. Paris: L'Harmattan, 2007.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
9

ʾOṅʻ, Jhyaṅʻ. Saccā rhi mha Sū rai koṅʻʺ nhaṅʻʹ Mranʻ mā Sū rai koṅʻʺ puṃ praṅʻ myāʺ. Mrokʻ Ukkalāpa, Ranʻ kunʻ: Mratʻ panʻʺ Raguṃ Cā pe, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
10

MITRA, Gajendra Kumar. Rai jago, rai jago. Calcutta: Mitra & Ghosh, 1988.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "RFI"

1

Langer, Arthur M. "Establishing Requirements Using RFP and RFI." In Guide to Software Development, 49–70. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2300-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Doyle, D. John. "Renal Failure Index (RFI)." In Computer Programs in Clinical and Laboratory Medicine, 90–92. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3576-7_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Shimada, Masanobu. "Irregularities (RFI and Ionosphere)." In Imaging from Spaceborne and Airborne SARs, Calibration, and Applications, 303–24. Boca Raton, FL : Taylor & Francis, 2018.: CRC Press, 2018. http://dx.doi.org/10.1201/b21909-13.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Dijkema, Tammo Jan. "RFI Flagging, Demixing and Visibilities Compression." In Low Frequency Radio Astronomy and the LOFAR Observatory, 55–63. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-23434-2_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Soueid, Ahmad, E. Clayton Teague, and James Murday. "EMI/RFI: Electromagnetic and Radio-Frequency Interference." In Buildings for Advanced Technology, 93–114. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24892-9_8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kunkee, David. "Radio-Frequency Interference (RFI) in Passive Microwave Sensing." In Encyclopedia of Remote Sensing, 634–39. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-36699-9_153.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Braccini, Alessio Maria, Angela Perego, and Marco De Marco. "The Evaluation of IS Investment Returns: The RFI Case." In Information Technology and Innovation Trends in Organizations, 161–68. Heidelberg: Physica-Verlag HD, 2011. http://dx.doi.org/10.1007/978-3-7908-2632-6_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Langer, Arthur M. "Establishing Requirements Using a Request for Proposal (RFP) and a Request for Information (RFI)." In Guide to Software Development, 49–70. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-6799-0_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Breton, Francis, André Larouche, Peter Waite, and Pascal Cóté. "Rotary Flux Injector (RFI): Recent Development Towards an Autonomous Technology." In Light Metals 2015, 901–4. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119093435.ch151.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Breton, Francis, André Larouche, Peter Waite, and Pascal Côté. "Rotary Flux Injector (RFI): Recent Development Towards an Autonomous Technology." In Light Metals 2015, 901–4. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-48248-4_151.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "RFI"

1

"RFI 2019 Summary of the RFI 2019 Workshop." In 2019 RFI Workshop - Coexisting with Radio Frequency Interference (RFI). IEEE, 2019. http://dx.doi.org/10.23919/rfi48793.2019.9111795.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

"RFI 2019 TOC." In 2019 RFI Workshop - Coexisting with Radio Frequency Interference (RFI). IEEE, 2019. http://dx.doi.org/10.23919/rfi48793.2019.9111828.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Tinsley, Keith R., and Xiaopeng Dong. "Methodology for RFI Immune Wireless Platforms: RFI Predictive Modeling." In 2007 IEEE International Conference on Portable Information Devices. IEEE, 2007. http://dx.doi.org/10.1109/portable.2007.27.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Gunaratne, Thushara, and Adriaan Peens-Hough. "Modeling of RFI and RFI Mitigation Techniques in SKA1 Mid Telescope." In 2019 RFI Workshop - Coexisting with Radio Frequency Interference (RFI). IEEE, 2019. http://dx.doi.org/10.23919/rfi48793.2019.9111712.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Baan, Willem. "RFI Mitigation in Radio Astronomy (invited)." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

van Diepenbeek, Chris. "Passive spectrum use and upcoming changes in the spectrum environment (invited)." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Raybole, Pravin. "External sources of RFI at the GMRT: methods for control and coexistence with commercial users." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0003.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Williams, Peter. "The RFI Environment at Hat Creek Radio Observatory." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0004.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Kucuk, Ibrahim. "Radio Astronomy in Turkey: Site selection studies for radio quiet zones." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0005.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Bentum, Mark, Albert-Jan Boonstra, and Rob Millenaar. "Assessment of RFI measurements for LOFAR." In RFI mitigation workshop. Trieste, Italy: Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.107.0006.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "RFI"

1

Carlucci, Renee, Ashley Francis, and Charles Weko. Retrograde from Iraq (RFI). Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada603979.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Brashar, Connor, Tucker Haydon, and Anh Luong. PNT Resilience RFI Response. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1660786.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Voss, L. DARPA beyond CMOS RFI. Office of Scientific and Technical Information (OSTI), January 2021. http://dx.doi.org/10.2172/1788329.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Palmer, E. RFI/RI Work Plan for 716-A Motor Shops Seepage Basin. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/787267.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Brosh, Arieh, Gordon Carstens, Kristen Johnson, Ariel Shabtay, Joshuah Miron, Yoav Aharoni, Luis Tedeschi, and Ilan Halachmi. Enhancing Sustainability of Cattle Production Systems through Discovery of Biomarkers for Feed Efficiency. United States Department of Agriculture, July 2011. http://dx.doi.org/10.32747/2011.7592644.bard.

Full text
Abstract:
Feed inputs represent the largest variable cost of producing meat and milk from ruminant animals. Thus, strategies that improve the efficiency of feed utilization are needed to improve the global competitiveness of Israeli and U.S. cattle industries, and mitigate their environmental impact through reductions in nutrient excretions and greenhouse gas emissions. Implementation of innovative technologies that will enhance genetic merit for feed efficiency is arguably one of the most cost-effective strategies to meet future demands for animal-protein foods in an environmentally sustainable manner. While considerable genetic variation in feed efficiency exist within cattle populations, the expense of measuring individual-animal feed intake has precluded implementation of selection programs that target this trait. Residual feed intake (RFI) is a trait that quantifies between-animal variation in feed intake beyond that expected to meet energy requirements for maintenance and production, with efficient animals being those that eat less than expected for a given size and level of production. There remains a critical need to understand the biological drivers for genetic variation in RFI to facilitate development of effective selection programs in the future. Therefore, the aim of this project was to determine the biological basis for phenotypic variation in RFI of growing and lactating cattle, and discover metabolic biomarkers of RFI for early and more cost-effective selection of cattle for feed efficiency. Objectives were to: (1) Characterize the phenotypic relationships between RFI and production traits (growth or lactation), (2) Quantify inter-animal variation in residual HP, (3) Determine if divergent RFIphenotypes differ in HP, residual HP, recovered energy and digestibility, and (4) Determine if divergent RFI phenotypes differ in physical activity, feeding behavior traits, serum hormones and metabolites and hepatic mitochondrial traits. The major research findings from this project to date include: In lactating dairy cattle, substantial phenotypic variation in RFI was demonstrated as cows classified as having low RMEI consumed 17% less MEI than high-RMEI cows despite having similar body size and lactation productivity. Further, between-animal variation in RMEI was found to moderately associated with differences in RHP demonstrating that maintenance energy requirements contribute to observed differences in RFI. Quantifying energetic efficiency of dairy cows using RHP revealed that substantial changes occur as week of lactation advances—thus it will be critical to measure RMEI at a standardized stage of lactation. Finally, to determine RMEI in lactating dairy cows, individual DMI and production data should be collected for a minimum of 6 wk. We demonstrated that a favorably association exists between RFI in growing heifers and efficiency of forage utilization in pregnant cows. Therefore, results indicate that female progeny from parents selected for low RFI during postweaning development will also be efficient as mature females, which has positive implications for both dairy and beef cattle industries. Results from the beef cattle studies further extend our knowledge regarding the biological drivers of phenotypic variation in RFI of growing animals, and demonstrate that significant differences in feeding behavioral patterns, digestibility and heart rate exist between animals with divergent RFI. Feeding behavior traits may be an effective biomarker trait for RFI in beef and dairy cattle. There are differences in mitochondrial acceptor control and respiratory control ratios between calves with divergent RFI suggesting that variation in mitochondrial metabolism may be visible at the genome level. Multiple genes associated with mitochondrial energy processes are altered by RFI phenotype and some of these genes are associated with mitochondrial energy expenditure and major cellular pathways involved in regulation of immune responses and energy metabolism.
APA, Harvard, Vancouver, ISO, and other styles
6

Palmer, E. Final RFI/RI Report Burma Road Rubble Pit (231-4F). Volume 1. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/624017.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Kmetz, T. F. RFI/RI work plan for the Road A Chemical Basin 904-111G. Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/752139.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Doerry, Armin Walter. Apodized RFI filtering of synthetic aperture radar images. Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1204095.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

none,. DOE Request for Information (RFI) DE-FOA-0000153 PV Manufacturing Initiative. Office of Scientific and Technical Information (OSTI), February 2010. http://dx.doi.org/10.2172/1218396.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Orji, Ndubuisi George. Incentives, Infrastructure, and Research and Development Needs to Support a Strong Domestic Semiconductor Industry. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1282.

Full text
Abstract:
This report provides a summary of stakeholder responses to the Request for Information (RFI) titled “Incentives, Infrastructure, and Research and Development Needs To Support a Strong Domestic Semiconductor Industry,” issued by the U.S. Department of Commerce, with the assistance of the National Institute of Standards and Technology (NIST).
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'RFI' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography