Design and Implementation of Mobile Push Service-Based Mobile Medication-Hour Notification System

Abstract

Observing the medication hours are critical to the patients but they often forget to keep them unconsciously and delay in recovery. Although some notification services are being carried out by calling the patients or sending out the recorded messages through portable devices to those who stay at the hospitals or at homes, such services do not cover most of them. The notification system described in this article utilizes a Mobile Push Service generally used in other areas. The system not only notifies the medication hours but also informs the user cautions and warnings when they take their medicine(s). The possible side effects caused by excess consumption and mixed usage will be informed as well. The system has been designed to let the users to easily identify the information they need and keep the hours of medication. By modifying this system, other more sophisticated applications will be possible.

PLC-based design of monitoring system for ICT-integrated vertical fish farm

“…The study proposes a framework for the monitoring system as well. These two tasks were carried out based on the author's preceding researches [15][16][17][18][19][20]. As shown in (Fig.…”

“…Finally, Fig. 8 A database design for controlling a withdrawal period [20] Auxiliary Battery lets the user to check remaining battery power so that he/she can recharge it or find an alternative power source to get ready for the emergencies when the farm's power fails.…”

“…Thus, the The major methodological difference between the government-oriented researches and our idea is that we have introduced the Power Line Communication (PLC) technology into our proposed system design. The concepts used in this study have been validated through a number of prior articles and theses presented at the conferences and published on journals [15][16][17][18][19][20].…”

A Preliminary Analysis Model of Big Data for Prevention of Bioaccumulation of Heavy Metal-Based Pollutants: Focusing on the Atmospheric Data Analyses

“…However, since the analysis of big data is very complicated and difficult that sometimes it is quite hard to recognize its meaning and direction, the visualization of big data has come into the picture. Recently, the big data analysis is shifting from AMOS to R [4][5][6][7][8][9]. The big data used in this study is the atmospheric data measured by the Seoul Metropolitan Government.…”

“…Currently in the Republic of Korea (ROK), for the fishing industry, it is expected that the building-type fish farms will emerge in the town centers or suburbs soon as the research on the building-type fish farms led by the Ministry of Maritime Affairs and Fisheries is near completion [1][2][3][4][5][6][7][8]. At the same time, for the Agriculture sector, the crop farms that utilize LED lightings could appear at the sites centering around downtown areas.…”