Data Throughput of Wireless Network for Fire Alarms

Import 22/07/2015Tato bakalářská práce se zabývá ostravskou hasičskou sítí, propustností, rušením a návrhem na vylepšení sítě z hlediska datové propustnosti. Analýza datové propustnosti byla provedena pomoci vlastního programu napsaného v C#. Pomocí USB tuneru Rafael Micro R820T s čipsetem RTL2832U a počítačem s operačním systémem Ubuntu 14.04, na kterém byly nainstalován software Librtlsdr, GNU radio GQRX , Teamviewer a Kazam. Těmito programy byly sledovány vstupní kmitočty převaděčů, které neodhalily žádné rušení. Dále byly vypsány možné vlivy teoretického rušení. Následně byly vymyšleny dvě teoreticky zlepšené varianty systému. První se zabývá obousměrným přenosem, kdy koncové vysílače přijímají zprávu o potvrzení přijetí z převaděče a druhá přidáním dalšího převaděče, který by se při správném umístění, které by bylo na výškové budově domova sester. Hlavní výhodou tohoto řešení je větší pokrytí oblasti. Oba tyto návrhy mají lepší vlastnosti v oblasti datové propustnosti.The bachelor thesis deals with the fire-fighting net in Ostrava, it's permeability, disturbance and improvement proposal for this net from the point of view of data permeability. Analysis of data permeability was made by own programme wrote in C#. Disturbance was watched by USB tuner Rafael Micro R820T with chipset RTL2832U and with computer with operating system Ubuntu 14.04. On Ubuntu was install a software Librtlsdr, GNU radio GQRX, Teamviewer and Kazam. But the disturbance was not found. The list of the theroretical influences on disturbance was made. Two theoretical better options were invented. The first one deals with two-way transfer and the second one proposes additional convertor. These suggestions have better properties in the field of data permeability.440 - Katedra telekomunikační technikydobř

Additional file 5: Figure S3. of The sucrose non-fermenting 1-related kinase 2 gene SAPK9 improves drought tolerance and grain yield in rice by modulating cellular osmotic potential, stomatal closure and stress-responsive gene expression

Amino acid sequence alignment of the isolated SAPK9 CDS from wild rice Oryza rufipogon (accession no. KT387673) with the reported sequence of japonica rice cultivar (accession no.AB125310). (TIF 487 kb

Additional file 2: Figure S5. of The sucrose non-fermenting 1-related kinase 2 gene SAPK9 improves drought tolerance and grain yield in rice by modulating cellular osmotic potential, stomatal closure and stress-responsive gene expression

Schematic representation of the genetic constructs based on pCAMBIA1301 plasmid used for Agrobacterium-mediated transformation of drought-sensitive indica rice cultivar IR20. (A) The gene overexpression (OE) construct of SAPK9 carrying 1086 bp CDS from O. rufipogon. The developed transgenic rice lines were designated as SAOE#1, 2, 3 etc. (B) The RNAi-mediated gene silencing (RNAi) construct of endogenous SAPK9 gene. The 605 bp 5′-part of SAPK9 CDS from O. rufipogon was cloned in sense and antisense orientation flanking an arbitrary 200 bp DNA linker. The developed transgenic rice lines were designated as RNAi#1, 2, 3 etc. (TIF 453 kb

Additional file 8: Figure S6. of The sucrose non-fermenting 1-related kinase 2 gene SAPK9 improves drought tolerance and grain yield in rice by modulating cellular osmotic potential, stomatal closure and stress-responsive gene expression

Relative expression level of SAPK8 and SAPK10 gene in SAPK9 overexpressed (OE) and gene silenced (RNAi) transgenic rice lines. Analysis of real-time PCR depicting transcript level of (A) SAPK8 and (B) SAPK10 in leaf tissues of three sets of plants, i.e. OE, RNAi and non-transgenic (NT) plants under drought stress. For internal reference, rice polyubiquitin1 (OsUbi1) gene was used. Error bars represent the mean ± SD of triplicate measurements. Student’s t-test was performed to find out statistically significant differences (*P < 0.01). (TIF 339 kb

Molecular analyses of transgenic and NT plants for studying the CDS activity of <i>OsbZIP23</i> gene.

<p><b>(A)</b> Southern blot analysis of T₀ transformants of OEN and OER developed with the genetic construct of <i>OsbZIP23</i> CDS from <i>O</i>. <i>rufipogon</i> (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150763#pone.0150763.s003" target="_blank">S3 Fig</a>) and <i>O</i>. <i>nivara</i> (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150763#pone.0150763.s004" target="_blank">S4 Fig</a>). The genomic DNA was digested with <i>Hind</i>III and probed with the 739 bp <i>OsbZIP23</i> CDS. <b>(B)</b> Southern blot analysis of T₀ transformants of RNAi developed with gene silencing construct (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150763#pone.0150763.s005" target="_blank">S5 Fig</a>) using <i>Hind</i>III digested genomic DNA and probed with 739 bp <i>OsbZIP23</i> CDS. Lane NT- non-transgenic, Lane M- molecular weight marker. <b>(C)</b> Real time PCR analysis showing relative expression level of <i>OsbZIP23</i> in three OE lines, two RNAi lines and non-transgenic (NT) plants in vegetative stage, where rice polyubiquitin1 (<i>OsUbi1</i>) gene was taken as internal reference. Data bars represent the mean ±SD of triplicate measurement. Statistical analysis of Student’s t test indicated significant differences (* P<0.05, **P<0.01). <b>(D)</b> Western blot analysis showing the expression level of OsbZIP23 protein in three OE lines, two RNAi lines and NT plant (upper panel). Equal loading of protein was confirmed by using <i>β</i>-actin antibody (lower panel).</p

Comparison of leaf water retention capacity and reactive oxygen species (ROS) activity in <i>OsbZIP23</i> OE and RNAi lines.

<p><b>(A)</b> Water loss rates and <b>(B)</b> relative water contents of detached leaves, at the five-leaf stage amongst <i>OsbZIP23</i> OE lines, RNAi lines and NT plants. Measurement of <b>(C)</b> proline and <b>(D)</b> soluble sugar contents in <i>OsbZIP23</i> OE lines, RNAi lines and NT plants, after extraction from leaf tissues before and after water stress. All the results were based on three independent experiments. Data bars represent the mean ±SD of triplicate measurement. A statistical analysis by Student’s t-test indicated significant differences (*P<0.05, **P<0.01). <b>(E)</b> Measurement of MDA content in <i>OsbZIP23</i> OE, RNAi lines and NT plants, after extraction from leaf tissue of rice plants before and after water stress. Data bars represent the mean ±SD of triplicate measurement. A statistical analysis by Student’s t-test indicated significant differences (*P<0.05, **P<0.01). <b>(F)</b> Detection of ROS by monitoring H₂O₂ production in leaves of <i>OsbZIP23</i> OE, RNAi lines and NT plants were visualized by staining with 3, 3^׳–diaminobenzidine (DAB) under well-watered (normal) and drought stress condition. <b>(G)</b> Production of O₂⁻ ions in leaves of <i>OsbZIP23</i> OE, RNAi lines and NT plants were visualized by staining with nitro blue tetrazolium (NBT) under normal and drought stress condition. The results were based on three independent experiments; one set of result is represented here.</p

Assessing drought stress tolerance and grain yield of <i>OsbZIP23</i> overexpression (OE) and down-regulated (RNAi) transgenic lines.

<p><b>(A)</b> Photographs of OE lines, RNAi lines and non-transgenic (NT) plants in the vegetative stage- before and after drought stress and their subsequent recovery after the drought treatment. <b>(B)</b> Survival rates of transgenic lines and NT plants, calculated in percentage (%). <b>(C)</b> Photographs of OE lines, RNAi lines and NT plants in early reproductive (panicle initiation) stage- before and after drought stress and their subsequent recovery after the drought treatment. <b>(D)</b> Survival rates of transgenic lines and NT plants, calculated in %. <b>(E)</b> Drought stress in PVC pipes in flowering stage and subsequent recovery till seed maturation stage of OE lines, RNAi lines and NT plants. <b>(F)</b> Mature panicle of OE lines, RNAi lines and NT plant. <b>(G)</b> Measurement of panicle weight in OE lines, RNAi lines and NT plant. <b>(H)</b> Spikelet fertility measurement in OE lines, RNAi lines and NT plants, calculated in %. Data bars represent the mean ±SD of triplicate measurement. Statistical analysis by Student’s t-test indicated significant differences (*P<0.05, ** P<0.01). All the results were based on three independent experiments.</p

Evaluating ABA sensitivity of <i>OsbZIP23</i> OE and RNAi lines at germination and post-germination stages.

<p>Germination performance of seeds from <b>(A)</b> <i>OsbZIP23</i> OE lines (OER#5, OEN#9), and <b>(B)</b> <i>OsbZIP23</i> RNAi lines (RNAi#1, RNAi#4) in comparison to NT plants on MS agar medium containing 0, 1, 3 and 6 μM ABA at 10^th day. <b>(C)</b> Calculation of the germination rates (%) of <i>OsbZIP23</i> OE, RNAi and NT seeds. <b>(D</b> and <b>E)</b> Performance of OE, RNAi and NT seedlings in ½ MS liquid medium containing 0, 1, 3 and 6 μM of ABA. Measurement of (<b>F</b>) shoot length and <b>(G)</b> root length of OE, RNAi and NT seedlings grown on different concentrations of ABA after 14 days. Data bars represent the mean ±SD of triplicate measurement. Statistical analysis by Student’s t-test indicated significant differences (*P<0.05, ** P<0.01). All the results were based on three independent experiments.</p

Analysis of natural polymorphism in the coding DNA sequence of <i>OsbZIP23</i> gene.

<p><b>(A)</b> PCR amplification of <i>OsbZIP23</i> CDS from selected genotypes using gene-specific primers. Lanes 1–15 represents <i>O</i>. <i>rufipogon</i>, <i>O</i>. <i>nivara</i>, Vandana, Swarna, Nagina22, Manipuri, HRC300, IR20, IR36, IR64, IR72, sorghum, maize, <i>Brachypodium</i> and bajra respectively. Lane M- <i>Hin</i>fI digested pUC18 plasmid as a standard molecular weight marker. <b>(B)</b> Allelic polymorphism in the CDS of <i>OsbZIP23</i> gene across selected rice genotypes is represented by multiple sequence alignment in Jalview software.</p

Southern blot and GFP fluorescence analyses of transgenic and NT plants for studying the promoter activity of <i>OsbZIP23</i> gene.

<p><b>(A)</b> Southern blot analysis of rice T₀ transformants of RuP and 20P lines developed with the <i>O</i>. <i>rufipogon</i> promoter-GFP construct (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150763#pone.0150763.s001" target="_blank">S1 Fig</a>) and <i>O</i>. <i>sativa</i> IR20 promoter-GFP construct (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0150763#pone.0150763.s002" target="_blank">S2 Fig</a>), respectively. The genomic DNA of plant sample was digested with <i>Hind</i>III, and the CDS of GFP gene was used as hybridization probe. Lane NT- non-transgenic, Lane M- molecular weight marker. (<b>B</b>) GFP expression in finely cross-sectioned leaves of drought stressed single integration transgenic rice lines under the confocal microscope (Olympus FV1200). Scale bar 50 μm. (<b>C</b>) Real time PCR analysis showing relative expression level of <i>GFP</i> in leaf samples of RuP and 20P lines under drought stress condition, where rice polyubiquitin1 (<i>OsUbi1</i>) gene was taken as internal reference. Data bars represent the mean ±SD of triplicate measurement. Statistical analysis of Student’s t test indicated significant differences (**P<0.01).</p