scholarly journals Expert Health Diagnosis and Monitoring System Software for Common Medical Conditions

2015 ◽  
Vol 124 (1) ◽  
pp. 17-22
Author(s):  
M.O. Yinyeh ◽  
S. Alhassan
2013 ◽  
Vol 336-338 ◽  
pp. 2147-2151
Author(s):  
Yong Liu ◽  
Li Yan Yuan

In order to improve the efficiency of designing monitor system software and modeling with UML, the UML application of software system modeling was researched in theory and practice. The whole process is divided into four steps, which are the global analysis, the local analysis, the global design, and the local design, and the GUI of the system is described at last. A distributed highway monitoring system is analyzed and designed by UML.


2011 ◽  
Vol 480-481 ◽  
pp. 1105-1110
Author(s):  
Dan Lin Cai ◽  
Da Xin Zhu

The video Monitoring System is an important part of intelligent building security system. The structure of the video Monitoring system is analyzed ,the system is proposeed and each sub-system software design are presented in this thesis.the system has obtained more satisfactory effect in practicability, reliability and cost.


2011 ◽  
Vol 12 ◽  
pp. 586-592 ◽  
Author(s):  
Makbul Anwari ◽  
Murtadza Md Dom ◽  
M.I.M. Rashid

2020 ◽  
Vol 13 (1) ◽  
pp. 61-70
Author(s):  
Ahmad Sulhi Chotib ◽  
Abdul Muis Sobri ◽  
Cecep Nurul Alam

Nowadays there are lots of Network Monitoring System (NMS) software that are reliable and easy to use, such as CiscoWork, HP-OpenView, and IBM-Tivoli. It is just that the software is quite expensive, because it has classified as a commercial product. Fortunately, availability of NMS products is not limited to commercial, but also many other alternatives, namely products that classified as Free and Open Source Software (FOSS). Unfortunately, most of these FOSS products are not only difficult to implementation both in term of installation and configuration, but also limitations in the number of nodes and types of monitored, including network devices, servers, and applications. The method of selecting FOSS-based NMS software based on the Oyku Alanbay and ISO 7498-4 research methods through the Analytical Hierarchy Process (AHP) approach using the Expert Choice tool. Among GroundWork, Hyperic, Nagios, OpenNMS, and Zenoss, based on the results of this study put Nagios as a fair reliable software for monitoring networks, servers, and applications.


2006 ◽  
Author(s):  
J. Matthew Barnett ◽  
Cheryl J. Duchsherer ◽  
Daniel R. Sisk ◽  
Gregory L. Carter ◽  
David D. Douglas ◽  
...  

Author(s):  
Evans Sansolis ◽  
Karen Alinor Dumpit ◽  
Cheryl Ann Feliprada

All Fire Alarm Systems essentially operate on the same fundamental principle and framework. It provides audible and visual alarm signals. An alarm is raised if a sensor detects smoke or heat, warns people that there may be a fire, and evacuate the premises immediately. Consequently, concerned individuals may call the fire department to mitigate the emergency at which, at this point of time, the firefighter's Emergency Respond Time (ERT) is vital.  ERT is one of the contributing factors to how much fire will consume lives and, or properties.  In worst cases, an entire building turns into ashes, lives taken because of a slow ERT. Then there are these casual "false-alarms" caused by the false-positive readings of the installed Fire Alarm Systems.  These false alarms cause mass panic and consume firefighters' valuable time and resources. The instances mentioned above are a few reasons why there is a need to implement an efficient city-wide fire alarm system. This study focused on the design, development and testing of a wide-area Smart Fire Monitoring System comprised of major parts, the devices and the system software. Specifically, this study aimed to develop a smart fire alarm device using the Agile Prototyping Methodology (APM) and employ Agile Software Development Methodology (ASDM) for the development of the Smart Fire Monitoring System Software (SFMSS). For the development of the smart fire alarm device, the proponents assembled necessary sensors, electrical components, microcontrollers, and other electrical modules to create a working smart fire alarm device that abled to detect smoke; detect temperature spikes; detect the existence of fire; broadcast a GPS coordinates to the fire department; transmit and receive data through RF signals using long-range radio frequency (RF) module and SMS technology; and, be functional and operational under Low Power mode. Concomitant with this device is its system software, SFMSS, to manage and process the broadcasted data. SFMSS is a centralized system developed for the fire department to monitor the city for a fire outbreak. SFMSS continuously communicates with the fire alarm devices to autonomously monitor fire presence via radio frequency and process SMS notifications containing GPS coordinates, convert them into a readable address, and plot it in a city map in the event of a fire emergency. The proponents conducted a Stress and Reliability Test on the smart fire alarm device and Product Evaluation for Quality, Efficiency, and Usability with the Bureau of Fire Protection Region 6 for the entirety of the system.


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