scholarly journals Log4Perf: suggesting and updating logging locations for web-based systems’ performance monitoring

2019 ◽  
Vol 25 (1) ◽  
pp. 488-531
Author(s):  
Kundi Yao ◽  
Guilherme B. de Pádua ◽  
Weiyi Shang ◽  
Catalin Sporea ◽  
Andrei Toma ◽  
...  
Keyword(s):  
Performance Monitoring ◽  
Web Based

Freeway and Arterial System of Transportation Dashboard

2012 ◽  
Vol 2271 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Gang Xie ◽  
Brian Hoeft
Keyword(s):  
Performance Monitoring ◽  
Intelligent Transportation System ◽  
Three Dimensional ◽  
Arterial System ◽  
Incident Management ◽  
Data Quality Control ◽  
Web Based ◽  
Highway Capacity Manual ◽  
Day To Day Operations ◽  
And Performance

This paper introduces the Freeway and Arterial System of Transportation (FAST) dashboard, an integrated web-based freeway and arterial performance monitoring and measurement system. The dashboard provides an intuitive web-based user interface to present real-time and historical freeway and arterial network monitoring and performance information in a variety of displays, including the interactive three-dimensional surface plot tool, which the user selects and customizes. These displays also include most of those found in the Highway Capacity Manual and other widely accepted professional handbooks. In addition to comprehensive performance measures, newly defined measures, such as delay volume in mile-minute2, are applied in the system. Since September 2009, the FAST dashboard has been widely applied in day-to-day operations, incident management, express lane evaluation, ramp meter operation and evaluation, intelligent transportation system device maintenance, and operation data quality control. Moreover, the system facilitates coordination with other transportation fields by providing information to the planning and transit departments.

Web-Based Data Management System for Long-Term Performance Monitoring and Stewardship of a Low-Level Radioactive Waste Disposal Facility

2003 ◽  
Author(s):  
Craig H. Benson ◽  
Robert J. Tipton ◽  
Uday Kumthekar ◽  
J. D. Chiou
Keyword(s):  
Radioactive Waste ◽  
Performance Monitoring ◽  
Radioactive Waste Disposal ◽  
Data Management System ◽  
Web Based ◽  
Disposal Facility ◽  
Long Term Performance ◽  
Term Performance ◽  
Low Level Radioactive Waste

A web-based data management system is described that is being used for long-term performance monitoring and stewardship of a low-level radioactive waste disposal facility (LLRWDF) at the Fernald Closure Project (FCP) in Fernald, Ohio, USA. The system provides integrated data collection and management for monitoring performance of the liner and cover systems in the LLRWDF. Integrated performance monitoring data (meteorological, hydrological, geophysical, ecological, leachate flow, and leachate quality data) are presented and compared with performance criteria and action levels in near real-time. A status summary is also included for the site manager, regulators, and other stakeholders to provide an early warning regarding the need for corrective action.

The Value of Enterprise Data Integration and Trending Analysis Results for an Effective Equipment Reliability Program

2005 ◽  
Author(s):  
Evan Niemkiewicz ◽  
Walter Walejeski
Keyword(s):  
Data Integration ◽  
Condition Monitoring ◽  
Performance Monitoring ◽  
Power Industry ◽  
Diagnostic Tools ◽  
Web Based ◽  
Diagnostic Parameters ◽  
Equipment Reliability ◽  
Maintenance Personnel ◽  
Diagnostic Technologies

In the power industry, many companies are trying to improve Equipment Reliability by focusing on Performance Monitoring and the application of diagnostic technologies. Software tools are focused on performing detailed technical analysis and trending of diagnostic parameters. The diagnostic data is often stored in archival databases that can track this data for many years. However, the analysis results generated by engineering and maintenance personnel are often stored outside the diagnostic tools in various databases, spreadsheets, and word documents. This valuable information is then difficult to track, trend, and then recall when a similar event occurs in the future. The paper will focus on developed and implemented web-based tools that facilitate tracking, trending, and sharing these analysis results across sites and enterprises. This paper further discusses implementation details and demonstrates the value of incorporating this information seamlessly into existing as well as developing condition monitoring programs.

scholarly journals THE IMPLEMENTATION OF HEART RATE SENSOR AND MOTION SENSORS BASED ON INTERNET OF THINGS FOR ATLETE PERFORMANCE MONITORING

Kursor ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 196
Author(s):  
Muhammad Aksa Hidayat ◽  
Sritrusta Sukaridhoto ◽  
Achmad Basuki ◽  
Udin Harun Al Rasyid ◽  
Ika Fadhila Aryanti ◽  
...  
Keyword(s):  
Heart Rate ◽  
Internet Of Things ◽  
Motion Capture ◽  
Performance Monitoring ◽  
Sensor Data ◽  
Raspberry Pi ◽  
Motion Sensors ◽  
Web Based ◽  
Rate Sensor ◽  
The Internet Of Things

Indonesian achievements in the ASEAN Games continued to decline in achievement starting in 1962 with the acquisition of 51 medals and up to 2014 with the acquisition of 20 medals. The decline in achievement was due to the lack of athletic resources due to the absence of media that could record athletes' abilities in the field. Can record the athlete's performance before running, running and after running using the Heart Rate sensor and Motion Capture sensor. The results of the sensor recording will be stored in the database. This system applies the Internet of Things (IoT) concept, using raspberry pi, Arduino microcontroller, T34 polar heart rate sensor to capture and send heartbeat to receivers, gyro-based motion-capture sensors that named wear notch where this sensor serves to capture the movement of athletes, sensors communicate with the system using 4G connectivity, use MQTT as edge computing which acts as a communication medium from sensors to databases, Maria DB and influx DB as accumulation which plays a role in storing heart rate and athlete's movements that have been recorded by sensors, athlete performance monitoring platform with a heart rate sensor and athlete's motion capture is a web-based application that collaborates all processes from the sensor to the system. Sensor heart rate recording results are categorized good because the error margin is only 0.4%. Wearnotch sensor data can be stored in the database, and athletic data can be recorded before sports, while sports, and after sports in real-time

A Network Computing Language Environment for Design and Manufacturing

1997 ◽  
Author(s):  
Harry H. Cheng
Keyword(s):  
Performance Monitoring ◽  
Network Computing ◽  
Mechatronic Systems ◽  
Web Based ◽  
Central Processing ◽  
Computing Paradigm ◽  
Design And Manufacturing ◽  
Language Environment ◽  
Opening Up ◽  
Application Programs

Abstract With the development of the World Wide Web (WWW), the computing paradigm has been shifted from the central processing in the 1970s, client/server based computing in 1980s, to today’s network computing. In the network computing, it is not computers on the network, but the network itself is the computer. This fundamental change of computing paradigm is opening up a whole new world of opportunities for design and manufacturing that have not existed before. We have developed a network computing language environment for design and manufacturing. The language environment is a superset of ANSI C. It has also been used for Web-based design of mechanisms, geometrical modeling, machine tool database search, CNC code verification, remote performance monitoring, control of real-time mechatronic systems. This language environment will be presented in comparison with ANSI C in this article. Major extensions to C will be highlighted. Of particular interest are the restricted and safe shells for Web-centric network computing. Details about integration of the language environment with Web server and browser will be described. This language environment and its Web-based application programs are available on the WWW at http://iel.ucdavis.edu.

scholarly journals Web-based automated remediation performance monitoring and visualization of contaminant mass flux and discharge

2011 ◽  
Vol 21 (3) ◽  
pp. 89-101 ◽  
Author(s):  
Mark L. Kram ◽  
Steve Airhart ◽  
Daniel Tyler ◽  
Amy Dindal ◽  
Andrew Barton ◽  
...  
Keyword(s):  
Mass Flux ◽  
Performance Monitoring ◽  
Web Based ◽  
Contaminant Mass Flux
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