International Terrestrial Reference Frame 2000

International Terrestrial Reference Frame 2000 Transformation coordinates from International Terrestrial Reference Frame 2000 to World Geodetic System 1984 Geodetic network is an essential frame of spatial data. Also it is an information system for geodetic and engineering surveys, land management, geodetic support of construction, monitoring of buildings and structures deformations, topographical mapping, development of geographical information systems, transport navigation. There are several coordinate systems to solve tasks as described above. Using Global Navigation Satellite Systems cause a problem of installing communication between coordinate systems. G.I.S. specialists should know how to work with various kinds of geospatial data, that are acquired from terrestrial surveying, Global Navigation Satellite System observations and online GNSS processing service. Besides coordinates can relate to global, regional and local reference systems (Bosy J., 2014). Geodesists should understand and be able to handle with reference frame conversions in order to get high-quality geospatial data: maps, digital models of the Earth. The aim of thi s research is to find better transformation model between ITRF2000 and WGS84 by comparison Bursa-Wolf and Molodensky-Badekas models. First of all, short definitions on two reference frames should be done. The ITRF is stands for International Terrestrial Reference Frame. It is earth-centered and earth-fixed datum. It was presented in 1988. Coordinates are based on the GRS80 ellipsoid, which was designed to suit the shape of the geoid. The geoid is an irregular surface, which coincides with the surface of the water in the seas and oceans. It is perpendicular to the direction of gravity at any point. ITRF is sustained by the International Earth Rotation and Reference Systems Service (Altamimi Z., 2011). Also it is a global network with points that have accurate coordinates. Coordinates are derived from geodetic measurements using GNSS and different laser rangings (Jannsen V., 2009). This network contains 800 stations that are distributed over the globe. The latest realization of the ITRF was done in 2008. The realization is a defining of stations' coordinates and linear velocities (Altamimi Z., 2011). In contrast, WGS84 is a regular Terrestrial Reference System. It is geocentric, right-handed, orthogonal coordinate system used in geodesy and navigation (NIMA, 2000). The WGS84 Coordinate System center is a geometric center of the WGS84 Ellipsoid. The National Geospatial Intelligence Agency operates this common Terrestrial Reference System. Due to National Imagery and Mapping Agency (1997) the last reference system is developed in order to match International Reference System. The X and Z axes are consonant with the Reference Meridian, Reference Pole consequently. Also Y axis is stationed on ninety degrees from X and Z axes (NIMA, 2000). Furthermore, ITRF coordinates might differ from WGS84 coordinates in different regions at sub-metre level (Winter S., 2014). Consequently, two reference systems' convention increases with time (Jannsen V., 2009). Aghamohammadi in his work stated that those varieties might be solved at the centimeter level by using seven-parameter conversion (Aghamohammadi A.). Therefore, one datum can be transferred to another datum by the Helmert 7-parameter transformation (Knippers R., 1998). Those parameters are: three rotations (ÃŽ ±, ÃŽ ², ÃŽ ³), origin shift of three coordinates (ΔX, ΔYandΔZ) and scale (s). The Helmert transformation model is a seven parameter transformation. It is either a position vector and coordinate frame conversion. In the coordinate frame transformation parameters are transformed for the whole reference system. The Bursa-Wolf transformation model is the position vector transformation (Deakin R., 2006). In contrast to the coordinate frame transformation it uses rotations that are refer to the point's vector. These two models are almost the same. Yet their rotations have reversible signs. Moreover, Aghamohammadi tested two transformation models Bursa-Wolf and Molodensky-Badekas (Aghamohammadi A.). The first model's formulas were done by Bursa in 1962. In 1963 Wolf had improved it. It is a seven-parameter model. It transfers three dimensional Cartesian coordinates between two datums. This model uses origin shifts of coordinates, rotation angles and scale change. Below its matrix-vector form: The second model is Molodensky-Badekas model. It was introduced by Molodensky in 1962, then developed in 1969. It is also seven-parameter conformal conversion of Cartesian coordinates between different datums. The formula of transformation is: Where ΔX, ΔY, ΔZ are the shifts between the barycenter and centroid of two networks. And rx, ry, rz are rotation of positions, ds is a scale change. Moreover, Aghamohammadi stated that Molodensky-Badekas model dissimilar from Bursa-Wolf model by the point about which axes are rotate and scale is changed (Aghamohammadi A.).The Molodensky-badekas model is often used for the conversion coordinates between terrestrial and satellite datums. Yet for that condition the central point should be the barycentre (Aghamohammadi A.). In contrast the Bursa-Wolf transformation model does not need the centroid coordinates as in the Molodensky-Badekas model. Aghamohammadi described those two models in his work (Aghamohammadi A.). That author wrote that research was done in Iran region, where he compared transformation models to find appropriate model. The main issue of that work was that Iranian Permanent Network's coordinates are estimated in ITRF. National GPS network coordinates are in WGS84 coordinate system. And differences from two reference systems can be more than  ± meter. Due to results and some parameters concluded that Bursa-Wolf model is better that Molodensky-Badekas model (Aghamohammadi A.). The author wrote that the first model is simpler and easier to use than the second. Also it is better suits to the satellite datums. Finally, there are many computer programs that allow us to transfer coordinates from one system to another. However, it is important to know which method you will choose in order to achieve expected result. I suppose that this work covered theoretical part of the issue. Besides the Bursa-Wolf model can be proposed as good model due to its simplicity. In the future work I can choose this model to transform coordinates from ITRF2000 to WGS84. References Aghamohammadi A., Nankali H. R., Djamour Y. Transformation from ITRF2000 to WGS84. [e-journal] Available though: National Cartographic Center of Iran website http://ncc.org.ir/_DouranPortal/Documents/a-aghamohammadi.pdf [Accessed 2 November 2014]. Altamimi Z., Boucher C., Sillard P. (2011) New Trends for the Realization of the International Terrestrial Reference System. [e-journal] Available through: University of Liege website http://www.ltas-vis.ulg.ac.be/cmsms/uploads/File/ITRS.pdf [Accessed 2 November 2014]. Bosy J., (2014) Global, Regional and National Geodetic Reference Frames for Geodesy and Geodynamics. [e-journal] Available through: scientific publisher Springer link.springer.com/article/10.1007%2Fs00024-013-0676-8#page-1 [Accessed 2 November 2014]. NIMA (2000) Its Definition and Relationships with Local Geodetic Systems. [e-journal] Available through National Geospatial-Intelligence Agency website http://earth-info.nga.mil/GandG/Publications/tr8350.2/wgs84fin.pdf [Accessed 2 November 2014]. Deakin R., (2006) A note on the Bursa-Wolf and Molodensky-Badekas transformations. [e-journal] Available through ResearchGate social networking website http://researchgate.net/publication/228757515_a_note_on_the_bursa-wolf_and_molodensky-badekas_transformations [Accessed 1 November 2014]. Knippers R., (1998) Coordinate systems and Map projections, ITC-notes. [e-journal] Available through: International Institute for Geo-Information Science and Earth Observation website http://kartoweb.itc.nl/geometrics/publications/kt20003coordtransuk.pdf [Accessed 1 November 2014]. Jannsen V.,(2009) Understanding Coordinate Systems, Datums and Transformations in Australia. [e-journal] Available through: University of Tasmania Library website http://eprints.utas.edu.au/9489/1/Janssen_2009_SSC2009_proceedings_version.pdf [Accessed 1 November 2014]. Winter S., Rizos C., (2014) Dynamic Datum Transformations in Australia and New Zealand. [e-journal] Available through: CEUR Workshop Proceedings publication service http://ceur-ws.org/Vol-1142/paper6.pdf [Accessed 2 November 2014].

Meiosis and Genetic Diversity in Sordaria

INTRODUCTION Sordaria fimicola is an ascomecyete fungus studied for its product of meiosis and mitosis that form 8 haploid spores. These spores are contained in a fruiting body called perithecia. Asci made up of spores are contained in this body. The perithecia are squashed in order to better identify the asci. Scordaria is a very beneficial organism to study genetic variation because it is maintainable in a lab, has a short life cycle, its asci are easily distinguishable under a microscope and it helps to understand meiosis. Sordaira is found in Evolution canyon.It is a place in Israel that is a natural setting to explore the relations of organisms and their environment. Each side of the canyon is very different. One side is exposed to harsh conditions and much sun exposure while the other has more moderate conditions. The European slope of the canyon has dark gray landscape while the African slope has a lighter brown landscape. Meiosis is a reduction process that reduces diploid ce lls to haploid cells(2N1N). Meiosis I cause genetic variation to occur through the process of crossing over and independent assortment.Two haploid daughter cells are formed at the end of Meiosis I. Meiosis II then forms four haploid daughter cells. Every cell differs in its genetic material. Mitosis then creates 8 spores. These spores can have combinations of tan or gray to wild such as 4:4, 2:4:2, and 2:2:2:2. When the spores mature, they will be released. Two haploid cells will then unite through fertilization to form a diploid zygote. This lab will further our knowledge of meiosis and the benefits of genetic variation in Scordaria fimicola.Two types of fungi were used to show the effects of crossing over and independent assortment. The fungi combinations were created by placing two samples of tan or gray type on an agar plate and two samples of wild type and allowing them to combine over two weeks. After this amount of time the perithecia are well enough developed and are able to be squashed. The spores show different color combinations due to the meeting of wild and mutant type fungi. The mutant types will show light tan or gray color and the wild shows a dark spore.This will show us the combinations of spores created from meiosis and mitosis. It is expected that all three combinations of asci will be shown. It is expected that tan type will show more recombinant asci than the gray type. The purpose of this experiment is to show the distance between gene and centromere as well as the importance of sexual reproduction and genetic variation. METHODS Two agar plates were set up to allow the spore mutations to occur. Each plate was divided into four sections. Wild and tan or gray type Sordaria was placed in opposing sections of the plate.The plates were then left to incubate for two weeks. After the two weeks samples were taken from the plate and then squashed onto a microscope slide in order to burst the perithecia to view the asci. Crossover frequencies were measures by counting the frequency patterns of asci within an ascus cluster. Map distances, which measures the distance from gene to centromere, were then calculated after asci totals were found. RESULTS The asci were sorted into individual, group, section, and were then combined into group data. Combined Course DataNon-recombinant| Recombinant| Total # of Asci| Total # Recombinant Asci(B + C)| Frequency of Recombinant Asci(B + C)/total # asci)| Frequency of Type B Asci(B/total # asci)| Frequency of Type C Asci(C/total # asci)| Ratio B/C| # of Type A Asci(4:4)| # of Type B Asci(2:4:2)| # of Type C Asci(2:2:2:2)| | | | | | | Tan Spore Color| | | | 5669| 4301| 3976| 13946| 8277| 8277/13946| 4301/13946| 3976/13946| 4301/3976| Gray Spore Color| 3012| 2081| 1973| 7066| 4054| 2054/7066| 2081/7066| 1973/7066| 2081/1973| Cross over frequencyType B (2:4:2) asci| Type C(2:2:2:2) asci| Total Recombinant| Tan Spore Color| | | 30. 8%| 28. 5%| 59. 4%| Gray Spore Color| | | 29. 5%| 27. 9%| 57. 4% | Crossing over Frequency = Recombinant asci/Total asci x 100 The results show that 59. 4% of tan spores and 57. 4% of gray spores experienced crossing over. 2% more tan spores were recombinant compared to gray spores. Mapping Distance Mapping distance = % Crossing over/2 Tan Spore 59. 4/2 = 29. 7 mu Gray Spore 57. 4/2 = 28. 7 mu The results mean that there was 29. 7 mu for tan and 28. mu for gray between the crossing over and the centromere. Taking results from such a large group of data makes for a more accurate result. The image shows the possible combination outcomes of sordaria. The first one shows no crossing over (4:4) and the next two show crossing over with results (2:2:2:2 and 2:4:2). DISCUSSION This experiment helped us to better understand the importance of crossing over in sexual reproduction and also meiosis. The results showed that the Sordaria were more likely to cross over. With 59. 4% and 57. % recombinant, a majority of Sordaria show genetic independence. Genetic independence allows for Sordaria to survive, adapt, and continue reproducing. They produced different offspring due to meiosis and mitosis. The two percent difference could be possible due to the different spore strains and their optimal conditions. Within the experiment several errors could have occurred. One of the implications could have been the counting of the asci. When viewing them from a microscope it is very difficult to keep track of every single asci.Some could have been double counted or missed entirely. Another possible experiment would be to test a larger sample. Larger samples allows for more accurate results. A second experiment would be to test another organism that experiences the process meiosis and mitosis through asexual reproduction. A third experiment could carry out the same process but under different conditions to see if the results show the same pattern. In conclusion, Sordaria fimicola showed the process of crossing over and meiosis.It displayed the impor tance of genetic variation for use of survival and adaption. REFERENCES â€Å"Bio 110 Lab Activity: Meiosis and Genetic Diversity in Sordaria, week of September 24th. † Pennsylvania State University 2011. Volk, Thomas. â€Å"Sordaria Fimicola, a Fungus Used in Genetics– Tom Volk's Fungus of the Month for March 2007. † Sordaria Fimicola, a Fungus Used in Genetics– Tom Volk's Fungus of the Month for March 2007. University of Wisconsin, 2007. Web. 25 Oct. 2012. .

Primary Functions Of A Manager - 1308 Words

PRIMARY FUNCTIONS IN MANAGEMENT Management is the process of getting things done, effectively and efficiently, through and with other people (Robbins, DeCenzo Coulter, 2015). The functions of a manager are defined primarily as planning, organizing, leading and controlling. This paper will discuss these functions, their importance and benefits. PLANNING Virtually every step in professional project management includes project planning and replanning (Allen, McLees, Richardson Waterford, 2015). Management needs to plan, define goals, institute a plan of action or policy regarding achieving stated goals, and develop a formula to obtain the primary objectives of the organization. A plan enables a manager to establish tasks and schedule†¦show more content†¦Managers are faced with making decisions regarding every aspect of the company. Decision making is the essence of management (Robbins, et.al. 2015). Managers are responsible for an organized group of employees with a common or specific purpose. It is up to them to make the proper decisions, organize the jobs necessary for the overall efficiency, productivity and success of the organization. Every organization grows, prospers or fails as a result of decisions made by its members (Ada,S. and Ghaffarzadeh,M., 2015) Decision Making Managers want to be good decision makers and exhibit good decision-making behaviors so they appear competent and intelligent to their boss, employees and coworkers (Robbins, et.al, 2015). Managers must be able to understand and evaluate a problem, remain logical, and keep the focus on the organizations goal in regards to making any changes or decisions. They need to organize their team based on their knowledge and performance, evaluating objectively what is the best PRIMARY FUNCTIONS IN MANAGEMENT 4 and most efficient outcome for the company. 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Essay on Qualitative Research for Instructional Technology

Qualitative Research for Instructional Technology Background: A trend of the past several years has been the growing use of qualitative research for educational research. Qualitative research, broadly defined, means any kind of research that produces findings not arrived at by means of statistical procedures or other means of quantification. Where quantitative researchers seek causal determination, prediction, and generalization of findings, qualitative researchers seek instead illumination, understanding, and extrapolation to similar situations. Qualitative analysis results in a different type of knowledge than does quantitative inquiry. (Hoepfl, 1997, p.13). During the past several decades, particularly during the 1970s†¦show more content†¦15). 1. Qualitative research uses the natural setting as the source of data. The researcher attempts to observe, describe and interpret settings as they are, maintaining an empathic neutrality. 2. 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