Problem reporting and tracking system: a systems engineering challenge

2016 ◽  
Author(s):  
Vasco Cortez ◽  
Bernhard Lopez ◽  
Nicholas Whyborn ◽  
Roberto Price ◽  
Octavio Hernandez ◽  
...  
2014 ◽  
Vol 5 (1) ◽  
pp. 156-164 ◽  
Author(s):  
D. Brdjanovic ◽  
F. Zakaria ◽  
P. M. Mawioo ◽  
H. A. Garcia ◽  
C. M. Hooijmans ◽  
...  

This paper presents the innovative emergency Sanitation Operation System (eSOS) concept created to improve the entire emergency sanitation chain and provide decent sanitation to people in need. The eSOS kit is described including its components: eSOS smart toilets, an intelligent excreta collection vehicle-tracking system, a decentralized excreta treatment facility, an emergency sanitation coordination center, and an integrated eSOS communication and management system. The paper further deals with costs and the eSOS business model, its challenges, applicability and relevance. The first application, currently taking place in the Philippines will bring valuable insights on the future of the eSOS smart toilet. It is expected that eSOS will bring changes to traditional disaster relief management.


1991 ◽  
Vol 3 (05) ◽  
pp. 22-28
Author(s):  
D.L. Purvis ◽  
R.J. Novotny ◽  
B.T. Carlson

2018 ◽  
Vol 35 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Giovanni Turtulici ◽  
Davide Orlandi ◽  
Giorgia Dedone ◽  
Giovanni Mauri ◽  
Alessandro Fasciani ◽  
...  

2014 ◽  
Vol 6 (1) ◽  
pp. 45-79 ◽  
Author(s):  
Sean Carlin ◽  
Kevin Curran

Indoor radio frequency tracking systems are generally quite expensive and can vary in accuracy due to interference, equipment quality or other environmental factors. Due to these limiting factors of the technology, many businesses today find it hard to justify investing in RFID tracking technologies to improve the safety, efficiency and security of their working environments. The aim of this project was to provide a budget RFID tracking system that was capable of tracking a person or object through an indoor environment. To minimize the cost of the RFID tracking system, the components of the system were built from existing electronic equipment and hardware. The software was also written to minimize licensing and support fees allowing a cost effective budget RFID tracking system to be developed. The tracking system consists of a tag, reader nodes and a PC reader which utilize synapse RF 100 engines with python scripts embedded on to the chips. The tracking system software operates through a web portal utilizing web technologies such as HTML, JavaScript and PHP to allow the tags location to be represented on a two dimensional map using scalable vector graphics. During development of the system a new trilateration algorithm was developed and used convert the signals received from the tag to a virtual position on the map correlating to the actual physical position of the tag. A unique contribution of this system is the low cost of building which we estimate as less than £200 UK sterling for a five node system.


2014 ◽  
Vol 875-877 ◽  
pp. 1794-1798
Author(s):  
Yuen Hsien Tseng ◽  
Zih Ping Ho ◽  
Sen Po Wu

An information tracking system of the liquefied petroleum gas industry is important to the government in carbon emissions economics. This research applied an information tracking system to the liquefied petroleum gas industry. It also formulated finding a minimization unexpect LPG quantity (Gap), and auto plot the variation by time of a selected firm using html5 techniques, which unexpect LPG quantity (Gap) was over the predefined threshold. Through a web-structure dynamic tracking system, a manager can easily access the information of unexpect LPG quantity (Gap) firms. Future research suggests expanding this research to physical tank constraints calculation.


Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.


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