MDFA: A New Multiple Dynamic Flip Algorithm for Mobile-based Apps Development

被引:0
作者
Man, Mustafa B. [1 ]
Abu Bakar, Wan Aezwani Wan [2 ]
Yusof, MohdKamir B. [3 ]
Awang, Tengku Hanizar Tengku [4 ]
Yeow, Terry [5 ]
机构
[1] Univ Malaysia Terengganu, Fac Ocean Engn Technol & Informat, Terengganu 21030, Malaysia
[2] Univ Sultan Zainal Abidin, Pusat Asasi Sains & Perubatan UniSZA PUSPA, Kampus Gong Badak, Terengganu 21030, Malaysia
[3] Univ Sultan Zainal Abidin, Fac Informat & Comp, Terengganu 22200, Malaysia
[4] Ibu Pejabat Agensi Antidadah Kebangsaan Malaysia, Kajang 43650, Selangor, Malaysia
[5] Upaya Vista Sdn Bhd, 67,Jalan Perind 4 KUB, Klang 41050, Selangor, Malaysia
来源
2022 IEEE 18TH INTERNATIONAL COLLOQUIUM ON SIGNAL PROCESSING & APPLICATIONS (CSPA 2022) | 2022年
关键词
Multiple Dynamic Flip Algorithm; mobile application; database; Internet;
D O I
10.1109/CSPA55076.2022.9781898
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Mobile user is getting increase in number for various reasons. With these increase in trending, there's a proportionate need to invent a faster and easier mechanism in developing the mobile application (apps). This paper presents the Multiple Dynamic Flip Algorithm (MDFA), a new algorithm in developing mobile-based applications that serves as the mobile apps framework. The algorithm developed allows the data to be stored in the database and the administration of the system can only change the data according to the categories of data that have been systematically arranged in the database. The modified custom data will continue to be updated through the mobile application that has been developed. This method allows changes to information and data to be done automatically without requiring users to run back to mobile-based programming. For information, usually the process of updating information needs to be generated back in mobile-based programming and needs to be uploaded back in the play store or apple store and users must download the application software back. By using this MDFA algorithm, the problem is no longer needed and can be solved more quickly. This MDFA has been tested in the development of two mobile-based applications, namely eMobile Anti-Drug Awareness for Agensi Anti Dadah Kebangsaan (AADK) and Bread on Mobile (BOM).
引用
收藏
页码:371 / 376
页数:6
相关论文
共 13 条
  • [1] Aezwani Bt Wan Abu Bakar Wan, 2016, Advances in Machine Learning and Signal Processing, MALSIP 2015. Proceedings: LNEE 387, P35, DOI 10.1007/978-3-319-32213-1_4
  • [2] A Review of Machine Learning and Deep Learning Techniques for Anomaly Detection in IoT Data
    Al-amri, Redhwan
    Murugesan, Raja Kumar
    Man, Mustafa
    Abdulateef, Alaa Fareed
    Al-Sharafi, Mohammed A.
    Alkahtani, Ammar Ahmed
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (12):
  • [3] An Empirical Study on Developing Secure Mobile Health Apps: The Developers' Perspective
    Aljedaani, Bakheet
    Ahmad, Aakash
    Zahedi, Mansooreh
    Babar, M. Ali
    [J]. 2020 27TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2020), 2020, : 208 - 217
  • [4] Automated Repair of Size-Based Inaccessibility Issues in Mobile Applications
    Alotaibi, Ali S.
    Chiou, Paul T.
    Halfond, William G. J.
    [J]. 2021 36TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING ASE 2021, 2021, : 730 - 742
  • [5] [Anonymous], TOP CHALLENGES FACED
  • [6] Baker El-Ebiary Yousef A., 2021, 2021 2nd International Conference on Smart Computing and Electronic Enterprise (ICSCEE), P180, DOI 10.1109/ICSCEE50312.2021.9498228
  • [7] Assessing long-term user experience on a mobile health application through an in-app embedded conversation-based questionnaire
    Biduski, Daiana
    Bellei, Ericles Andrei
    Mazuco Rodriguez, Joao Pedro
    Martinez Zaina, Luciana Aparecida
    Bertoletti De Marchi, Ana Carolina
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2020, 104
  • [8] Okuboyejo S., 2021, INT J INTERACTIVE MO, V15
  • [9] The Long-Standing Privacy Debate: Mobile Websites Vs Mobile Apps
    Papadopoulos, Elias P.
    Diamantaris, Michalis
    Papadopoulos, Panagiotis
    Petsas, Thanasis
    Ioannidis, Sotiris
    Markatos, Evangelos P.
    [J]. PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17), 2017, : 153 - 162
  • [10] Sabri I. A. A., 2018, INDONESIAN J ELECT E, V9, P752