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Design for Mobile monitoring application of AI-based demanding forecast algorithm
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AI 기반 수요예측 알고리즘 모바일 모니터링 애플리케이션 설계

논문 기본 정보

Type
Academic journal
Author
So-Yeon Im (부산가톨릭대) Min-Kyeong Bae (부산가톨릭대) Hyo-Won Lee (부산가톨릭대) Sin-Hyeong Choi (부산가톨릭대) Seung-jun Lee (부산가톨릭대) Young-Woo Lee (부산가톨릭대) Cheol-Woo Park (부산가톨릭대)
Journal
The Korea Institute of Information and Communication Engineering Journal of the Korea Institute of Information and Communication Engineering Vol.27 No.2 KCI Accredited Journals
Published
2023.2
Pages
222 - 230 (9page)
DOI
10.6109/jkiice.2023.27.2.222

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Design for Mobile monitoring application of AI-based demanding forecast algorithm
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Abstract· Keywords

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Recently, many companies are building systems to generate profits through various AI-based demand forecasting algorithms. Therefore, this study aims to develop an application that allows users to monitor data related to AI demand prediction in real time. When creating this application, the goal is to help you easily understand the information by adapting the color to the purpose, and to easily convey the information and recognize it at a glance by considering the layout. In addition, the design was constructed using the check box function and each text function in the ID and password verification and the unique code partial configuration. Confidential data security can be enhanced by allowing only the data of the corresponding company to be checked using the unique code set for each company. As a result, real-time monitoring can be viewed without security problems with mobile applications.

Contents

요약
ABSTRACT
Ⅰ. 서론
Ⅱ. 이론적 배경
Ⅲ. 선행연구
Ⅳ. 애플리케이션 설계
Ⅴ. 결론
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