Difference between revisions of "Team:HFUT-China/Description"

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<title>Description</title>
<h1>Description</h1>
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<p>Tell us about your project, describe what moves you and why this is something important for your team.</p>
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<h5>What should this page contain?</h5>
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<li> A clear and concise description of your project.</li>
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<li>A detailed explanation of why your team chose to work on this particular project.</li>
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<li>References and sources to document your research.</li>
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<li>Use illustrations and other visual resources to explain your project.</li>
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<h5>Advice on writing your Project Description</h5>
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We encourage you to put up a lot of information and content on your wiki, but we also encourage you to include summaries as much as possible. If you think of the sections in your project description as the sections in a publication, you should try to be consist, accurate and unambiguous in your achievements.  
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Judges like to read your wiki and know exactly what you have achieved. This is how you should think about these sections; from the point of view of the judge evaluating you at the end of the year.
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<h5>References</h5>
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<p>iGEM teams are encouraged to record references you use during the course of your research. They should be posted somewhere on your wiki so that judges and other visitors can see how you thought about your project and what works inspired you.</p>
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<h5>Inspiration</h5>
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<p>See how other teams have described and presented their projects: </p>
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            <p><span style="font-size:40px;">Hfut Software Team</span> <br />
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                &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; <span style="float:right;font-size:24px;"><b>- Project Description</b></span></p>
<li><a href="https://2016.igem.org/Team:Imperial_College/Description">2016 Imperial College</a></li>
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            </div>
<li><a href="https://2016.igem.org/Team:Wageningen_UR/Description">2016 Wageningen UR</a></li>
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        </div>
<li><a href="https://2014.igem.org/Team:UC_Davis/Project_Overview"> 2014 UC Davis</a></li>
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        <div class="wrap_content">
<li><a href="https://2014.igem.org/Team:SYSU-Software/Overview">2014 SYSU Software</a></li>
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            <span style="font-size:30px; font-style:italic;color:#09F;">What for?</span><br /><br />
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            <p><span style="font-style:italic"><b>Generally speaking, our system is a project search engine.</b></span></p>  
 
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            <p>The system is based on a project library that stores information (including the profile, the purpose, the process, the results etc.) of all the teams’ projects in the past years and updates daily to keep up with the times. The system provides a variety of ways for searching information. And by the special processing of the information, we also optimize the searching performance and ensure the effectiveness of search results.</p><br />
 
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            <span style="font-size:30px; font-style:italic;color:#09F;">How?</span><br /><br />
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<span style="font-style:italic">Way of Search:</span>
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            <ul>
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            <li><p>Search by Category
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The system gives basic classification of previous projects, you can use the category tags to search.</p></li>
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                <li><p>Search by Bioblock
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By searching for a bioblock, you can get all the related information of the previous projects.</p></li>
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                <li><p>Search by Combination of Bioblocks
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By searching for two bioblocks, you can get projects related to the two bioblocks.</p></li>
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                <li><p>Search by Key Techniques
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By searching for the key techniques used in the project, you can get the previous projects that used the same technique.</p></li>
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            </ul><br />
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            <span style="font-size:30px; font-style:italic;color:#09F;">Optimize performance:</span><br /><br />
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<span style="font-style:italic">Search for performance protection:</span><br />
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            <ul>
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            <li>
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<p>The captured data is structured in the database by reasonable prior analysis processing, so that the retrieval and the time consumption of the data analysis are not felt during the retrieval process.</p>
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                </li>
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            </ul><br />
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            <span style="font-style:italic">Guarantee the effectiveness :</span><br />
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            <ul>
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            <li><p>In the initial processing of storage, the data is sorted by algorithm through keywords. Content that is relevant to the keywords will be placed ahead. And the searching results will be sorted by algorithm as well.</p></li>
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                <li><p>The sorting algorithm itself is a model. When user looks at the searching results, the system will know which kind of information is more useful to the user according to the user's feedback. Through this information collection training and screening model, the system itself will optimize the sorting algorithm.</p></li>
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            </ul>
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        </div>
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Revision as of 01:11, 30 June 2017

Team:HFUT-China

Description

Hfut Software Team
          - Project Description

What for?

Generally speaking, our system is a project search engine.

The system is based on a project library that stores information (including the profile, the purpose, the process, the results etc.) of all the teams’ projects in the past years and updates daily to keep up with the times. The system provides a variety of ways for searching information. And by the special processing of the information, we also optimize the searching performance and ensure the effectiveness of search results.


How?

Way of Search:
  • Search by Category The system gives basic classification of previous projects, you can use the category tags to search.

  • Search by Bioblock By searching for a bioblock, you can get all the related information of the previous projects.

  • Search by Combination of Bioblocks By searching for two bioblocks, you can get projects related to the two bioblocks.

  • Search by Key Techniques By searching for the key techniques used in the project, you can get the previous projects that used the same technique.


Optimize performance:

Search for performance protection:
  • The captured data is structured in the database by reasonable prior analysis processing, so that the retrieval and the time consumption of the data analysis are not felt during the retrieval process.


Guarantee the effectiveness :
  • In the initial processing of storage, the data is sorted by algorithm through keywords. Content that is relevant to the keywords will be placed ahead. And the searching results will be sorted by algorithm as well.

  • The sorting algorithm itself is a model. When user looks at the searching results, the system will know which kind of information is more useful to the user according to the user's feedback. Through this information collection training and screening model, the system itself will optimize the sorting algorithm.