資料載入中.....
|
請使用永久網址來引用或連結此文件:
http://ir.ncue.edu.tw/ir/handle/987654321/11897
|
| 題名: | A Batch Fuzzy Query System for Predicting Protein Stability Change |
| 作者: | Wu, Chao-Chin;Huang, Liang-Tsung;Lai, Lien-Fu |
| 貢獻者: | 資訊工程學系 |
| 關鍵詞: | Protein stability;Prediction;fuzzy query;FuzzyCLIPS;parallel processing |
| 日期: | 2010-03
|
| 上傳時間: | 2012-07-02T02:27:18Z
|
| 出版者: | IEEE Computer Society Washington |
| 摘要: | Predicting protein mutant stability changes is important for protein design. Although many methods have tried to improve prediction accuracy by various models, it will be difficult to employ them when the required input information is incomplete. Therefore, we have proposed a fuzzy query method previously to predict stability changes upon single mutations using partial input information. However, when a researcher has tens or hundreds of queries to predict, he needs to input query data repeatedly. It is better to issue queries in a batch, which incurs another problem. Because our proposed fuzzy query method is implemented in the FuzzyCLIPS language, it takes a long time to process a batch of queries. To shorten the response time, we propose parallelizing queries in emerging cluster systems or grid systems. Furthermore, to address the problem of heterogeneous computing power of cluster and grid nodes, a variety of self-scheduling schemes have been implemented for better load balance. Experimental results show that our proposed parallel fuzzy query system can provide hundreds of predications in more reasonable response time. |
| 關聯: | The 2nd International Conference on Computer Engineering and Applications (ICCEA 2010), Mar. 19-21, 2010: 257-261 |
| 顯示於類別: | [資訊工程學系] 會議論文
|
文件中的檔案:
| 檔案 |
大小 | 格式 | 瀏覽次數 |
|---|
| index.html | 0Kb | HTML | 779 | 檢視/開啟 |
|
在NCUEIR中所有的資料項目都受到原著作權保護.
|
