Programming Models of Command Processing for Time-Series Data with Fault Tolerance to C++/CLI Graphics Codes

Gao Wei Chang*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

This paper is to propose an object-oriented framework with C++/CLI programming models that process the input commands for time series with fault tolerance to the graphics in an integrated development environment, e.g., Microsoft Visual Studio. In this approach, the collection of those opcodes (e.g., string array) can be systematically augmented. Also, with the predefined template of multiple-division commands, the proposed methods can be immune to format error or incomplete operand divisions. The experimental results reveal the effectiveness of the fault tolerance to graphing time series.

原文英語
主出版物標題2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面204-207
頁數4
ISBN(電子)9781665437554
DOIs
出版狀態已發佈 - 2021
事件2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021 - Yilan, 臺灣
持續時間: 2021 12月 102021 12月 12

出版系列

名字2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021

會議

會議2021 IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2021
國家/地區臺灣
城市Yilan
期間2021/12/102021/12/12

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦科學應用
  • 硬體和架構
  • 資訊系統
  • 資訊系統與管理
  • 安全、風險、可靠性和品質

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