Research Paper on Skype Essay Example

Research Paper on Skype Essay Skype is free proprietary software with a closed source code that provides text, voice, and video communications over the Internet between computers (IP-telephony), optionally using peer to peer technology, as well as paid services for calls to mobile and landline devices. Skype had had 663 million users by the end of 2010. Most developers and 44 % of employees work in the General Division of Tallinn and Tartu, Estonia. The software also allows to make a conference call (up to 25 users, including the initiator) and video calls (including a video conference, up to 10 subscribers). In addition, it provides text messaging (IM), and file transfer. There is an opportunity to transmit video captured from user’s desktop instead of an video from a webcam, as well as to create and send video messages to users of the software desktop versions. Software clients Skype released for Mac OS X, Windows, Linux, Windows Phone, iOS, Android, Open webOS, PSP, Xbox 360, Maemo, PlayStation Vita, Blackberry, and Symbian. There is also a version for Java and for Kindle Fire HD. The Skype Technologies Company was founded in 2003 by Swede Niklas Zennstremom and Dane Janus Friis. Estonian programmers Ahti Heinla, Priit Kazesalu, and Jaan Tallinn, who previously created file-sharing program KaZaA, participated in creating the Skype software. We will write a custom essay sample on Research Paper on Skype specifically for you for only $16.38 $13.9/page Order now We will write a custom essay sample on Research Paper on Skype specifically for you FOR ONLY $16.38 $13.9/page Hire Writer We will write a custom essay sample on Research Paper on Skype specifically for you FOR ONLY $16.38 $13.9/page Hire Writer The first version (0.97, 0.98) became available for downloading in the September-October 2003, on the site, declared as Swedish. The software had a simple interface that was originally adapted for the voice communication, in contrast to the messengers like ICQ and MSN Messenger. During installation, Skype chose the language of the locale Windows version and had a quick and simple registration form, in contrast to competing programs. The simplicity of installation and usability of the program quickly attracted the attention of a large number of users. Version 1.2 first included the answering machine (Voicemail), and starting with version 1.3, any user could leave messages to other users, even if they did not use this service. In version 1.2, SkypeIn became available, which allows to connect Skype account with users’ phone number. Starting with version 1.4, the opportunity to redirect calls to other Skype accounts, as well as landline phones, became available. Version 2.0 introduced video calls, and since the version 2.5 user have had the ability to send SMS, organize SkypeCast (this technology is officially off with a Sept. 1, 2008), and integrate the software with Microsoft Outlook. Version 3 introduced a SkypeFind service, which allowed users to create a list of companies and give them a description. He is now largely filled with spam. You can find all the information you need for your research proposal or research report using free example research topics on Skype, which you can easily find on the Internet. At EssayLib.com writing service you can order a custom research paper on Skype topics. Your research paper will be written from scratch. We hire top-rated Ph.D. and Master’s writers only to provide students with professional research paper assistance at affordable rates. Each customer will get a non-plagiarized paper with timely delivery. Just visit our website and fill in the order form with all research paper details: Enjoy our professional research paper writing service!

maths 101 Essay

maths 101 Essay maths 101 Essay 1ABSTRACT: A strategy is presented for analysing marine biological survey data and relating the biotic patterns to environmental data. To avoid circular argument, biotic and environmental data are kept separate. The strategy is illustrated by a worked example using data on the distribution of 182 nematode species in 107 samples in the River Exe estuary. Nineteen stations are grouped Into 4 main clusters using complementary classification and multi-dimensional scaling (MDS) ordination tech- niques. These are both based on root-root transformed abundance data with the Bray-Curtis measure of similarity. Indicator species characterising each group are extracted using information statistics. Inverse analyses give clusters of CO-occurnng species which are strongly related to the station groups. Relationships of station groups to environmental variables are revealed by superimposing data for one variable at a time on the MDS plot, showing that some station groups differ in sediment granulometry and others in salinity, for example. Some of the other factors plotted show no difference between station groups. Similarly, physiognomic charactcrlstics of the species are superimposed on the MDS plots of the inverse analysis of species groups, revealing differences in setal length and trophic status between the species groups. Finally, the 4 major station groups and species groups are related to one another in terms of morphological adaptation to the habitat. INTRODUCTION Biological surveys whether of benthos, plankton or nekton, usually result in complex bodies of biotic and environmental data from which patterns and relation- ships need to be extracted. Although such multispecles data sets have much in common, a confusing variety of numerical techniques has been used in the marine ecological literature, often simply because a computer program happened to be handy and without considera- tion of its suitability for the data. Numerical techniques have been most commonly applied to benthic data (e.g. Sanders, 1958; Cassie and Michael, 1968; Lie and Kelley, 1970; Day et al., 1971; Hughes and Thomas, 1971; Popham and Ellis, 1971 ; Stephenson et al., 1972; Poore and Mobley, 1980; Shin, 1982; and several other recent papers). Plankton workers have also used num- erical methods (e.g. Cassie, 1961; Fager and McGo- wan, 1963; McConnaughey, 1964; Thorrington-Smith, 1971; Angel and Fasham, 1975), and some similar analyses have been done on fish distribution (e.g. Fager and Longhurst, 1968; Peters, 1971; Haedrich et al., 1980). O Inter-Research/Printed in F. R. Germany In this paper we present an overall strategy for the analysis of multispecies data and the associated environmental variables which we believe has wide applicability in marine ecology. A set of robust and tested numerical techniques is presented stage by stage and illustrated by a simple example. We do not claim to review all the useful techniques available, but merely to outline numerical methods which we have successfully applied to a variety of ecological data. For a more complete review of many of the techniques see Clifford and Stephenson (1975). Walker et al. (1979) have summarized the 3 alterna- tive