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    āļāļēāļĢāđƒāļŠāđ‰ LibQUAL +TM āļ›āļĢāļ°āđ€āļĄāļīāļ™āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āļŠāļ–āļēāļšāļąāļ™āļ­āļēāļĻāļĢāļĄāļĻāļīāļĨāļ›āđŒ

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    āļāļēāļĢāļ§āļīāļˆāļąāļĒāļ„āļĢāļąāđ‰āļ‡āļ™āļĩāđ‰āđ€āļ›āđ‡āļ™āļāļēāļĢāļ§āļīāļˆāļąāļĒāđāļšāļšāļœāļŠāļēāļ™āļ§āļīāļ˜āļĩ āļĄāļĩāļ§āļąāļ•āļ–āļļāļ›āļĢāļ°āļŠāļ‡āļ„āđŒāđ€āļžāļ·āđˆāļ­āļĻāļķāļāļĐāļēāļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āđāļĨāļ°āļ›āļĢāļ°āđ€āļĄāļīāļ™āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ” āļŠāļ–āļēāļšāļąāļ™āļ­āļēāļĻāļĢāļĄāļĻāļīāļĨāļ›āđŒ āđƒāļ™Â 3 āļ”āđ‰āļēāļ™Â āļ„āļ·āļ­Â āļ”āđ‰āļēāļ™āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢ āļ”āđ‰āļēāļ™āļāļēāļĢāļ„āļ§āļšāļ„āļļāļĄāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻ āđāļĨāļ°āļ”āđ‰āļēāļ™āļŠāļ–āļēāļ™āļ—āļĩāđˆāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ” āđ€āļāđ‡āļšāļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļŠāļīāļ‡āļ›āļĢāļīāļĄāļēāļ“āļˆāļēāļāļŠāļĄāļēāļŠāļīāļāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āđƒāļ™āļ āļēāļ„āļāļēāļĢāļĻāļķāļāļĐāļēāļ—āļĩāđˆ 2 āļ›āļĩāļāļēāļĢāļĻāļķāļāļĐāļē 2558 āļˆāļģāļ™āļ§āļ™Â 192 āļ„āļ™Â āđ‚āļ”āļĒāđƒāļŠāđ‰āđ€āļ„āļĢāļ·āđˆāļ­āļ‡āļĄāļ·āļ­ LibQUAL+TM āđāļĨāļ°āđ€āļāđ‡āļšāļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļŠāļīāļ‡āļ„āļļāļ“āļ āļēāļžāļˆāļēāļāļ•āļąāļ§āđāļ—āļ™āļŠāļĄāļēāļŠāļīāļāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āļ”āđ‰āļ§āļĒāļāļēāļĢāļŠāļ™āļ—āļ™āļēāļāļĨāļļāđˆāļĄÂ āļˆāļģāļ™āļ§āļ™ 15 āļ„āļ™ āđƒāļ™āļāļēāļĢāļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļŠāļīāļ‡āļ›āļĢāļīāļĄāļēāļ“āđƒāļŠāđ‰āļŠāļ–āļīāļ•āļīāđ€āļŠāļīāļ‡āļšāļĢāļĢāļĒāļēāļĒ āđ„āļ”āđ‰āđāļāđˆ āļ„āđˆāļēāļĢāđ‰āļ­āļĒāļĨāļ° āļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒ āđāļĨāļ°āļŠāđˆāļ§āļ™āđ€āļšāļĩāđˆāļĒāļ‡āđ€āļšāļ™āļĄāļēāļ•āļĢāļāļēāļ™ āļŠāđˆāļ§āļ™āļ‚āđ‰āļ­āļĄāļđāļĨāđ€āļŠāļīāļ‡āļ„āļļāļ“āļ āļēāļž āļ§āļīāđ€āļ„āļĢāļēāļ°āļŦāđŒāļ‚āđ‰āļ­āļĄāļđāļĨāđ‚āļ”āļĒāļ™āļģāļ‚āđ‰āļ­āļĄāļđāļĨāļĄāļēāđ€āļĢāļĩāļĒāļšāđ€āļĢāļĩāļĒāļ‡āđāļĨāļ°āļžāļĢāļĢāļ“āļ™āļēāđāļĒāļāđ€āļ›āđ‡āļ™āļĢāļēāļĒāļ”āđ‰āļēāļ™Â  āļœāļĨāļāļēāļĢāļ§āļīāļˆāļąāļĒāļžāļšāļ§āđˆāļē 1) āļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āļ—āļĩāđˆāđ„āļ”āđ‰āļĢāļąāļšāļˆāļĢāļīāļ‡āļ­āļĒāļđāđˆāđƒāļ™āļĢāļ°āļ”āļąāļšāļĄāļēāļÂ āđ€āļĄāļ·āđˆāļ­āļ™āļģāļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ—āļąāđ‰āļ‡Â 3 āļ”āđ‰āļēāļ™Â āļĄāļēāđ€āļ›āļĢāļĩāļĒāļšāđ€āļ—āļĩāļĒāļšāļāļąāļ™āļžāļšāļ§āđˆāļē āļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāđ„āļ”āđ‰āļĢāļąāļšāļˆāļĢāļīāļ‡āļŠāļđāļ‡āļāļ§āđˆāļēāļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ‚āļąāđ‰āļ™āļ•āđˆāļģāļ—āļĩāđˆāļĒāļ­āļĄāļĢāļąāļšāđ„āļ”āđ‰Â āđāļĨāļ°āļŠāļđāļ‡āļāļ§āđˆāļēāļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāļ„āļēāļ”āļŦāļ§āļąāļ‡āļˆāļ°āđ„āļ”āđ‰āļĢāļąāļšāļ—āļļāļāļ‚āđ‰āļ­āļ„āļģāļ–āļēāļĄÂ āļĄāļĩāđ€āļžāļĩāļĒāļ‡āļ”āđ‰āļēāļ™āļāļēāļĢāļ„āļ§āļšāļ„āļļāļĄāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻāļ—āļĩāđˆāļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāđ„āļ”āđ‰āļĢāļąāļšāļˆāļĢāļīāļ‡āļ•āđˆāļģāļāļ§āđˆāļēāļĢāļ°āļ”āļąāļšāļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāļ„āļēāļ”āļŦāļ§āļąāļ‡Â 2) āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ” āđ€āļĄāļ·āđˆāļ­āļžāļīāļˆāļēāļĢāļ“āļēāļ„āđˆāļēāđ€āļ‰āļĨāļĩāđˆāļĒāļ‚āļ­āļ‡āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāļœāļđāđ‰āđƒāļŠāđ‰āđ„āļ”āđ‰āļĢāļąāļšāļˆāļĢāļīāļ‡āļ­āļĒāļđāđˆāđƒāļ™āļŠāđˆāļ§āļ‡āļ‚āļ­āļ‡āļ‚āļ­āļšāđ€āļ‚āļ•āļ‚āļ­āļ‡āļāļēāļĢāļĒāļ­āļĄāļĢāļąāļšāļ—āļļāļāļ‚āđ‰āļ­Â āđāļĨāļ°āļŠāđˆāļ­āļ‡āļ§āđˆāļēāļ‡āļ‚āļ­āļ‡āļāļēāļĢāļšāļĢāļīāļāļēāļĢāļ—āļĩāđˆāđ€āļžāļĩāļĒāļ‡āļžāļ­āļĄāļĩāļ„āđˆāļēāļ‚āļ­āļšāđ€āļ‚āļ•āļ‚āļ­āļ‡āļāļēāļĢāļĒāļ­āļĄāļĢāļąāļšāđ€āļ›āđ‡āļ™āļšāļ§āļāđƒāļ™āļ—āļļāļāļ”āđ‰āļēāļ™Â āđāļŠāļ”āļ‡āđƒāļŦāđ‰āđ€āļŦāđ‡āļ™āļ§āđˆāļēāļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āļ­āļĒāļđāđˆāđƒāļ™āđ€āļāļ“āļ‘āđŒāļ—āļĩāđˆāļĢāļąāļšāđ„āļ”āđ‰Â āđāļ•āđˆāļĒāļąāļ‡āđ„āļĄāđˆāļ•āļĢāļ‡āļāļąāļšāļ„āļ§āļēāļĄāļ•āđ‰āļ­āļ‡āļāļēāļĢāļ—āļĩāđˆāļ„āļēāļ”āļŦāļ§āļąāļ‡āđ„āļ§āđ‰Â āļŠāđˆāļ§āļ™āļŠāđˆāļ­āļ‡āļ§āđˆāļēāļ‡āļ‚āļ­āļ‡āļāļēāļĢāļšāļĢāļīāļāļēāļĢāļĢāļ°āļ”āļąāļšāļŠāļđāļ‡āļĄāļĩāļ„āđˆāļēāļ‚āļ­āļšāđ€āļ‚āļ•āļ‚āļ­āļ‡āļāļēāļĢāļĒāļ­āļĄāļĢāļąāļšāđ€āļ›āđ‡āļ™āļšāļ§āļāđƒāļ™āļ”āđ‰āļēāļ™āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāđāļĨāļ°āļ”āđ‰āļēāļ™āļŠāļ–āļēāļ™āļ—āļĩāđˆÂ āļĄāļĩāļ„āđˆāļēāļ‚āļ­āļšāđ€āļ‚āļ•āļ‚āļ­āļ‡āļāļēāļĢāļĒāļ­āļĄāļĢāļąāļšāđ€āļ›āđ‡āļ™āļĨāļšāđƒāļ™āļ”āđ‰āļēāļ™āļāļēāļĢāļ„āļ§āļšāļ„āļļāļĄāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻ āđāļŠāļ”āļ‡āđƒāļŦāđ‰āđ€āļŦāđ‡āļ™āļ§āđˆāļēāļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āļ”āđ‰āļēāļ™āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢ āđāļĨāļ°āļ”āđ‰āļēāļ™āļŠāļ–āļēāļ™āļ—āļĩāđˆÂ āđ€āļāļīāļ™āļ„āļ§āļēāļĄāļ„āļēāļ”āļŦāļ§āļąāļ‡āđƒāļ™āļĢāļ°āļ”āļąāļšāļ”āļĩāđ€āļĒāļĩāđˆāļĒāļĄÂ āļŠāđˆāļ§āļ™āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āđƒāļ™āļ”āđ‰āļēāļ™āļāļēāļĢāļ„āļ§āļšāļ„āļļāļĄāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻ āļžāļšāļ§āđˆāļē āļĒāļąāļ‡āđ„āļĄāđˆāļ–āļķāļ‡āļĢāļ°āļ”āļąāļšāļ—āļĩāđˆāļœāļđāđ‰āđƒāļŠāđ‰āļšāļĢāļīāļāļēāļĢāļ„āļēāļ”āļŦāļ§āļąāļ‡āđ„āļ§āđ‰Â āđāļĨāļ° 3) āļ‚āđ‰āļ­āđ€āļŠāļ™āļ­āđāļ™āļ°āđ€āļžāļ·āđˆāļ­āļāļēāļĢāļ›āļĢāļąāļšāļ›āļĢāļļāļ‡āļ„āļļāļ“āļ āļēāļžāļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢāļ‚āļ­āļ‡āļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ” 3 āļ”āđ‰āļēāļ™ āđ„āļ”āđ‰āđāļāđˆ āļ”āđ‰āļēāļ™āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢ āđ€āļŠāļ™āļ­āđƒāļŦāđ‰āđ€āļžāļīāđˆāļĄāļˆāļģāļ™āļ§āļ™āđ€āļˆāđ‰āļēāļŦāļ™āđ‰āļēāļ—āļĩāđˆāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āđƒāļŦāđ‰āđ€āļžāļĩāļĒāļ‡āļžāļ­Â āđāļĨāļ°āļĄāļĩāđ€āļˆāđ‰āļēāļŦāļ™āđ‰āļēāļ—āļĩāđˆāļ›āļĢāļ°āļˆāļģāļŦāđ‰āļ­āļ‡āļ•āļĨāļ­āļ”āđ€āļ§āļĨāļē āđ€āļžāļ·āđˆāļ­āļ­āļģāļ™āļ§āļĒāļ„āļ§āļēāļĄāļŠāļ°āļ”āļ§āļāđƒāļ™āļāļēāļĢāđƒāļŦāđ‰āļšāļĢāļīāļāļēāļĢ āļ”āđ‰āļēāļ™āļāļēāļĢāļ„āļ§āļšāļ„āļļāļĄāļŠāļēāļĢāļŠāļ™āđ€āļ—āļĻ āđ€āļŠāļ™āļ­āđƒāļŦāđ‰āđ€āļžāļīāđˆāļĄāļˆāļģāļ™āļ§āļ™āļ„āļ­āļĄāļžāļīāļ§āđ€āļ•āļ­āļĢāđŒāđ€āļžāļ·āđˆāļ­āļāļēāļĢāļŠāļ·āļšāļ„āđ‰āļ™Â āļ„āđ‰āļ™āļŦāļēāļ‚āđ‰āļ­āļĄāļđāļĨāļ­āļīāļ™āđ€āļ—āļ­āļĢāđŒāđ€āļ™āđ‡āļ• āđāļĨāļ°āļ”āđ‰āļēāļ™āļŠāļ–āļēāļ™āļ—āļĩāđˆÂ āđ€āļŠāļ™āļ­āđƒāļŦāđ‰āļāļēāļĢāļ‚āļĒāļēāļĒāļžāļ·āđ‰āļ™āļ—āļĩāđˆāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”āđƒāļŦāđ‰āļāļ§āđ‰āļēāļ‡āļ‚āļ§āļēāļ‡āļ‚āļķāđ‰āļ™Â āđ€āļžāļīāđˆāļĄāļˆāļģāļ™āļ§āļ™āđ‚āļ•āđŠāļ°āđ€āļāđ‰āļēāļ­āļĩāđ‰āđƒāļŦāđ‰āđ€āļžāļĩāļĒāļ‡āļžāļ­Â āđāļĨāļ°āļ„āļ§āļēāļĄāđ€āļžāļĩāļĒāļ‡āļžāļ­āļ‚āļ­āļ‡āļžāļ·āđ‰āļ™āļ—āļĩāđˆāđƒāļ™āļāļēāļĢāļ—āļģāļāļīāļˆāļāļĢāļĢāļĄāļŦāđ‰āļ­āļ‡āļŠāļĄāļļāļ”This mixed method research studied 3 aspects of the services quality: the effect of service, information control and library as place. Quantitative data were collected from library members within the 2nd semester of academic year 2015 using the LibQUAL+TM questionnaire. The sample consisted of 192 cases and qualitative data were collected from representative of library members by group discussions of 15 cases. The quantitative data were analyzed by descriptive statistics as percentage, mean, and standard deviation while qualitative data were arranged and described in each aspect. There were three findings in this research. First, the level of Perceived service level was very high. The average value of the three values found that the Perceived service level was higher than the minimum-acceptable service level and higher than the desire service level in all questions. Only the information control found that the Perceived service level was lower than the desire service level. Second, an average quality of effect of service that a user receives within the zone of tolerance in all items and the zone of tolerance of the gap of service was positive, in all aspects. The quality of library services was within reach but it did not meet expectations. The zone of tolerance of the gap of high-level service was positive in terms of effect of service and library as place but the zone of tolerance was a negative value in information control. The service quality and library as place exceeded expectations at an excellent level. The quality of library services for information control was not up to the level expected. Third, recommendations for the quality improvement of effect of service were as follows: service proposed to hire more library staff and there are room staff all the time to facilitate the service. Information control offers to increase the number of computers to search for information on the Internet and the library as place offers to expand the library space and increase the number of chairs and tables and sufficient space for library activities

    Emergency TeleOrthoPaedics m-health system for wireless communication links

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    For the first time, a complete wireless and mobile emergency TeleOrthoPaedics system with field trials and expert opinion is presented. The system enables doctors in a remote area to obtain a second opinion from doctors in the hospital using secured wireless telecommunication networks. Doctors can exchange securely medical images and video as well as other important data, and thus perform remote consultations, fast and accurately using a user friendly interface, via a reliable and secure telemedicine system of low cost. The quality of the transmitted compressed (JPEG2000) images was measured using different metrics and doctors opinions. The results have shown that all metrics were within acceptable limits. The performance of the system was evaluated successfully under different wireless communication links based on real data

    Multicast broadcast services support in OFDMA-based WiMAX systems [Advances in mobile multimedia]

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    Multimedia stream service provided by broadband wireless networks has emerged as an important technology and has attracted much attention. An all-IP network architecture with reliable high-throughput air interface makes orthogonal frequency division multiplexing access (OFDMA)-based mobile worldwide interoperability for microwave access (mobile WiMAX) a viable technology for wireless multimedia services, such as voice over IP (VoIP), mobile TV, and so on. One of the main features in a WiMAX MAC layer is that it can provide'differentiated services among different traffic categories with individual QoS requirements. In this article, we first give an overview of the key aspects of WiMAX and describe multimedia broadcast multicast service (MBMS) architecture of the 3GPP. Then, we propose a multicast and broadcast service (MBS) architecture for WiMAX that is based on MBMS. Moreover, we enhance the MBS architecture for mobile WiMAX to overcome the shortcoming of limited video broadcast performance over the baseline MBS model. We also give examples to demonstrate that the proposed architecture can support better mobility and offer higher power efficiency

    Context-Awareness Enhances 5G Multi-Access Edge Computing Reliability

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    The fifth generation (5G) mobile telecommunication network is expected to support Multi- Access Edge Computing (MEC), which intends to distribute computation tasks and services from the central cloud to the edge clouds. Towards ultra-responsive, ultra-reliable and ultra-low-latency MEC services, the current mobile network security architecture should enable a more decentralized approach for authentication and authorization processes. This paper proposes a novel decentralized authentication architecture that supports flexible and low-cost local authentication with the awareness of context information of network elements such as user equipment and virtual network functions. Based on a Markov model for backhaul link quality, as well as a random walk mobility model with mixed mobility classes and traffic scenarios, numerical simulations have demonstrated that the proposed approach is able to achieve a flexible balance between the network operating cost and the MEC reliability.Comment: Accepted by IEEE Access on Feb. 02, 201

    Digital Platforms and Antitrust Law

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    This Article is about “big data” and antitrust law. Big data, for my purposes, refers to digital platforms that enable the discovery and sharing of information by consumers, and the harvesting and analysis of consumer data by the platform. The obvious example of such a platform is Google. The big platforms owe their market dominance not to anticompetitive conduct but to economies of scale. This Article discusses three types of anticompetitive conduct associated with digital platforms: kill zone expropriation, acquisition of nascent rivals, and denial of access to data. There is nothing so unusual about digital platforms that would require a reform of the antitrust laws. Some are described as two-sided markets, but this designation, even after Ohio v. American Express Co., should not present an obstacle to the application of antitrust law. I. Introduction II. Platforms III. Competition Issues ... A. Kill Zone Expropriation ... B. Acquisition of Nascent Rivals ... C. Denial of Access to Data IV. Antitrust Law V. Conclusio

    Journal of Asian Finance, Economics and Business, v. 4, no. 3

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    Clouds of Small Things: Provisioning Infrastructure-as-a-Service from within Community Networks

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    Community networks offer a shared communication infrastructure where communities of citizens build and own open networks. While the IP connectivity of the networking devices is successfully achieved, the number of services and applications available from within the community network is typically small and the usage of the community network is often limited to providing Internet access to remote areas through wireless links. In this paper we propose to apply the principle of resource sharing of community networks, currently limited to the network bandwidth, to other computing resources, which leads to cloud computing in community networks. Towards this vision, we review some characteristics of community networks and identify potential scenarios for community clouds. We simulate a cloud computing infrastructure service and discuss different aspects of its performance in comparison to a commercial centralized cloud system. We note that in community clouds the computing resources are heterogeneous and less powerful, which affects the time needed to assign resources. Response time of the infrastructure service is high in community clouds even for a small number of resources since resources are distributed, but tends to get closer to that of a centralized cloud when the number of resources requested increases. Our initial results suggest that the performance of the community clouds highly depends on the community network conditions, but has some potential for improvement with network-aware cloud services. The main strength compared to commercial cloud services, however, is that community cloud services hosted on community-owned resources will follow the principles of community network and will be neutral and open

    Decision support for optimised irrigation scheduling

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    The system, developed under the FLOW-AID (an FP6 project), is a farm level water management system of special value in situations where the water availability and quality is limited. This market-ready precision irrigation management system features new models, hardware and software. The hardware platform delivers a maintenance-free low cost dielectric tensiometer and several low-end irrigation or fertigation controllers for serving different situations. The software includes a complete, web based, Decision Support System (DSS) that consists of an expert planner for farm zoning (MOPECO) and a universal irrigation scheduler, based on crop-water stress models (UNIPI) and water and nutrient uptake calculations. The system, designed also to service greenhouse fertigation and hydroponics, is scalable from one to many zones. It consists of 1) a data gathering tool which uploads agronomic data, from monitored crops around the world, to a central web Data Base (DB), and 2) a web based Decision Support System (DSS). The DSS processes intelligently the data of the crop using Crop Response Models, Nutrient Uptake Models and Water Uptake Models. The central system returns over Internet to the low-end controller a command file containing water scheduling and nutrient supply guideline
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