Research_Assistantship_Fall2019 | Work done under Priya Narasimhan

 by   sharath-sri-chellappa Java Version: Current License: No License

kandi X-RAY | Research_Assistantship_Fall2019 Summary

kandi X-RAY | Research_Assistantship_Fall2019 Summary

Research_Assistantship_Fall2019 is a Java library. Research_Assistantship_Fall2019 has no bugs, it has no vulnerabilities and it has low support. However Research_Assistantship_Fall2019 build file is not available. You can download it from GitHub.

i would like to thank professor priya narasimhan for helping conceive and bring to conclusion this unique problem statement combining the concepts of blockchain and distributed authentication. this work is first of a kind with no previous work done in this area. hence any work that we plan to do will be the first in this sphere. the given work has been completed by using nexus devices as the peers in the network and a one plus 6t as the main authenticator. this project proposes a blockchain based authentication solution for ticketing in sporting arenas which would allow ticket holders to carry out a group based authentication once their tickets have been deemed valid and can now go ahead and validate other ticket holders. this group based authentication helps reduce the amount of time being spent on each ticket with a total time to authenticate being reduced to atleast 1/10th of the time of a sequential authentication mechanism. this problem statement can be better explained with the help of an example. let us consider the case of the pittsburgh penguins stadium. the seating capacity of the stadium is 19,758. now considering an average of 3 seconds for each ticket being scanned in the stadium, this brings the total time spent on scanning all the tickets are 39516 seconds (659
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              Research_Assistantship_Fall2019 has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              Research_Assistantship_Fall2019 has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Research_Assistantship_Fall2019 is current.

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              Research_Assistantship_Fall2019 has no bugs reported.

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              Research_Assistantship_Fall2019 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              Research_Assistantship_Fall2019 releases are not available. You will need to build from source code and install.
              Research_Assistantship_Fall2019 has no build file. You will be need to create the build yourself to build the component from source.

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            You can download it from GitHub.
            You can use Research_Assistantship_Fall2019 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Research_Assistantship_Fall2019 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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