Design of Event Management System for Smart Retail Stores with IoT Edge

Author(s):  
Karthikeyan RR ◽  
Raghu B
2014 ◽  
Vol 599-601 ◽  
pp. 2215-2219 ◽  
Author(s):  
Fen Su Shi ◽  
Yang Zhou ◽  
Pan Shi

At present, many domestic industries don’t have perfect operation and maintenance management systems for their IT platform. Most of the daily maintenance work is passive response after the problem occurred rather than discovery in advance, which will bring the potential risks to IT system running smoothly. Therefore it is necessary to monitor and manage the existing IT core equipment, to improve the security and stability of the core production and enhance the satisfaction of business department. In addition, through the establishment of an association between centralized monitoring and process management platform, the system standardizes the operational work, and improves work efficiency.Maintenance management system based on Tivoli[1] is mainly to complete the monitoring and management of the IT infrastructure, used in finance, electric power, chemical and other industries, which includes room infrastructure, storage, networks, systems, databases and middleware. On one hand, the system centralizes event management platform integrates events from various aspects of the IT infrastructure, takes a rich deal and then provides intuitive monitoring for operational management. Moreover it integrates process management platform so as to complete creating work orders, processing and other operations. On the other hand, the system will integrate the monitoring results of existing business into the monitoring interface, and implements IT knowledge sharing.


Author(s):  
Sanjatul Islam ◽  
Rajashree Majumder ◽  
Subrina Sultana ◽  
Sumaiya Nasrin ◽  
Rubyeat Islam

2015 ◽  
Vol 4 (4) ◽  
pp. 84 ◽  
Author(s):  
Barbara J. Watson ◽  
Alan W. Salmoni ◽  
Aleksandra A. Zecevic

Background: The increasing number of falls in hospitals precipitates the need to collect and analyze falls data. Hospital falls data have been captured through staff documentation and incident reporting systems. Objective: The purpose of this study was to identify the variables associated with falls and injurious falls in an acute care hospital over the five years from the implementation of the Adverse Event Management System (AEMS). A secondary purpose was to identify problems associated with the AEMS.Methods: Falls data recorded in the AEMS system from February 2009 to February 2014 were analyzed to observe trends of falls and contributing factors occurring in various hospital units.Results: A total of 7,721 falls occurred during the study period. The highest frequency of the falls (901) occurred between 10:00 a.m. and 12:00 p.m. There were 2,275 falls which resulted in an injury. Both total fall and injurious fall rates were highest in Medicine inpatient units and lowest in Ambulatory outpatient units. The falls rate was 4.5 falls per 1,000 patient days in 2009 and 4.4 falls per 1,000 patient days in 2014. The prevalence of falls varied among nursing unit types and the time of day but the fall rate across the hospital did not change over the five year period.Conclusions: Continuous evaluation of falls data and improved staff education is recommended to help reduce falls in acute care hospitals. A province-wide database registry should be considered for future research on incident reporting.


2010 ◽  
Vol 2 (6) ◽  
pp. 287-291 ◽  
Author(s):  
Yu-Hsuan Yen ◽  
Li-Na Kuo ◽  
Min-Huei Hsu ◽  
Yu-Chuan Li ◽  
Kuei-Ju Cheng

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