## 3 Results and Discussion
### Implementing Cloud Apps Intelligent Systems
#### 3.2.4 Smart Health Surveillance Software and Apps  
AI smart health surveillance software applications are surveillance programs that are focused on contain the outbreak of the COVID19 pandemic. The purpose of this software is to minimize the outbreak and to cut the chain of COVID19 transmission. These are systems where the functions are to detect, alert and give information and alert particular government agencies involved in fighting this pandemic and the community such as the users of the application through cloud intelligent connectivity (Figure 6). Evolving technology with the HOPCM clustering algorithm and FDHEFT scheduling algorithm produces the best cloud intelligent system connectivity performance. Here, the basic processes of this software and application are as follows: first and foremost, there will be a server, host and AI functionality will be implemented in the software for the usage of the software and application users (users, hosting team and government agency). The server will be the mainframe of data storage, analyze data and give alert notification to all users based on their roles and functions. For applications that are used via a smartphone, it must have three functions that will be available for users' advantage. The first function is the data that users input to the application will be stored on the server for future detection and analysis of potential positive COVID19 patients. The second function is as a tracking device for patients that are under quarantine at that time.it easier for authorities to track down their movement. Finally, a function that will have to use Bluetooth to work is focused on the people around the users. When everyone has the application and Bluetooth is on and they are near each other, the application can retrieve the data from others' smartphone. The purpose of this, when an AI smart surveillance camera detects that a particular user is a potential COVID19 patient, is to make it easier for the AI server to analyze, detect and filter users for contact tracing and make it easier for governments to find patients (Figure 7). As for the smart surveillance camera, this camera will have functions of facial ID, detecting persons that have COVID19 symptoms (that will be input as data to the server and AI) and have a thermal scanner for the body temperature of each person who is detected by the smart surveillance camera. The picture from the AI smart surveillance camera will assign a \"Green\" detection result to the facial ID of people showing as negative for potential COVID19 contagion and a \"Red\" detection to  
Figure 6: Architecture of cloud based smart health. Figure 7: Processes flow of cloud-based smart health. the facial ID of people showing a positive potential COVID19 result. Those who receive a Red facial ID detection result will be given an alert notification on their apps and then the alert updated list will be send to appropriate particular authority for further action. Lastly, for computers or devices on which the software will be installed at several particular government agencies where all relevant data are analyzed by the server and host computer, if an updated alert of a potential COVID19 patient is received, the server and host computer will give a notification and update the \"COVID19 Alert List\" will be send to computer government agencies for further action. The government agencies that will be have such authority can be:  
* Prime Minister Office--PMO
* Ministry of Health--MOH
* Hospital and National Quarantine Center--HNQC
* Ministry of Finance and Economy--MOFE
* Ministry of Home Affairs--MOHE
* National Disaster Management Centre--NDMC  
Here, the listed agencies have their own roles as they have the authority to declare a status of positive, negative, quarantine and other status to be updated. Once updated, related agencies will also receive the updated list and status, then automatically be connected to the cloud intelligent server-host for further storage and data analysis.