Software architecture for real-time autonomous agents: a case study for digital train system

2003 ◽  
Author(s):  
Insop Song ◽  
F. Karray
Keyword(s):  
Software Architecture ◽  
Real Time ◽  
Autonomous Agents ◽  
Time Autonomous ◽  
Train System

scholarly journals A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study

10.2196/10666 ◽  
2018 ◽  
Vol 6 (11) ◽  
pp. e10666 ◽  
Author(s):  
Junsang Yoo ◽  
Kwang Yul Jung ◽  
Taerim Kim ◽  
Taerim Lee ◽  
Sung Yeon Hwang ◽  
...  
Keyword(s):  
Emergency Department ◽  
Real Time ◽  
Time Autonomous

scholarly journals A Real-Time Autonomous Dashboard for the Emergency Department: 5-Year Case Study (Preprint)

2018 ◽  
Author(s):  
Junsang Yoo ◽  
Kwang Yul Jung ◽  
Taerim Kim ◽  
Taerim Lee ◽  
Sung Yeon Hwang ◽  
...  
Keyword(s):  
Emergency Department ◽  
Real Time ◽  
Situation Awareness ◽  
Information Quality ◽  
Patient Privacy ◽  
Staff Members ◽  
System Usability Scale ◽  
Ed Crowding ◽  
Time Autonomous

BACKGROUND The task of monitoring and managing the entire emergency department (ED) is becoming more important due to increasing pressure on the ED. Recently, dashboards have received the spotlight as health information technology to support these tasks. OBJECTIVE This study aimed to describe the development of a real-time autonomous dashboard for the ED and to evaluate perspectives of clinical staff on its usability. METHODS We developed a dashboard based on three principles—“anytime, anywhere, at a glance;” “minimal interruption to workflow;” and “protect patient privacy”—and 3 design features—“geographical layout,” “patient-level alert,” and “real-time summary data.” Items to evaluate the dashboard were selected based on the throughput factor of the conceptual model of ED crowding. Moreover, ED physicians and nurses were surveyed using the system usability scale (SUS) and situation awareness index as well as a questionnaire we created on the basis of the construct of the Situation Awareness Rating Technique. RESULTS The first version of the ED dashboard was successfully launched in 2013, and it has undergone 3 major revisions since then because of geographical changes in ED and modifications to improve usability. A total of 52 ED staff members participated in the survey. The average SUS score of the dashboard was 67.6 points, which indicates “OK-to-Good” usability. The participants also reported that the dashboard provided efficient “concentration support” (4.15 points), “complexity representation” (4.02 points), “variability representation” (3.96 points), “information quality” (3.94 points), and “familiarity” (3.94 points). However, the “division of attention” was rated at 2.25 points. CONCLUSIONS We developed a real-time autonomous ED dashboard and successfully used it for 5 years with good evaluation from users.

Improvements in Web Based ERP Software Architecture as Implemented on the Cloud

2017 ◽  
Vol 7 (11) ◽  
pp. 22
Author(s):  
Shruti Makarand Kanade
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Cloud Computing ◽  
Software Architecture ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Web Based ◽  
Manufacturing Company ◽  
Erp Software

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.

Pollution based real time control strategies for combined sewer systems

1997 ◽  
Vol 36 (8-9) ◽  
pp. 331-336 ◽  
Author(s):  
Gabriela Weinreich ◽  
Wolfgang Schilling ◽  
Ane Birkely ◽  
Tallak Moland
Keyword(s):  
Real Time ◽  
Control Strategies ◽  
Ammonia Nitrogen ◽  
Simple Extension ◽  
Real Time Control ◽  
Time Control ◽  
Sewer Systems ◽  
Receiving Waters ◽  
Tunnel System

This paper presents results from an application of a newly developed simulation tool for pollution based real time control (PBRTC) of urban drainage systems. The Oslo interceptor tunnel is used as a case study. The paper focuses on the reduction of total phosphorus Ptot and ammonia-nitrogen NH4-N overflow loads into the receiving waters by means of optimized operation of the tunnel system. With PBRTC the total reduction of the Ptot load is 48% and of the NH4-N load 51%. Compared to the volume based RTC scenario the reductions are 11% and 15%, respectively. These further reductions could be achieved with a relatively simple extension of the operation strategy.

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