scholarly journals A New Robust Method for Mobile Robot Multifloor Navigation in Distributed Life Science Laboratories

2016 ◽  
Vol 2016 ◽  
pp. 1-17 ◽  
Author(s):  
Ali A. Abdulla ◽  
Hui Liu ◽  
Norbert Stoll ◽  
Kerstin Thurow
Keyword(s):  
Navigation System ◽  
Life Science ◽  
Low Cost ◽  
Real Life ◽  
Robust Method ◽  
New Approach ◽  
Efficient Performance ◽  
Ip Network ◽  
Science Laboratories ◽  
Technical Issues

A new robust method is proposed for multifloor navigation in distributed Life Science Laboratories. This method proposes a solution for many technical issues including (a) mapping and localization with ceiling landmarks and a StarGazer module for achieving an accurate and low cost multifloor navigation system, (b) a new method for path planning to navigate across multiple floor environments called backbone method and embedded transportation management system, (c) elevator environment handler with the necessary procedures to interact with the elevator presenting a new approach for elevator entry button and internal buttons detection, and (d) communication system to get an expandable network; this method utilizes a TCP/IP network for the communication. Many experiments in real Life Science Laboratories proved the efficient performance of the developed multifloor navigation system in life science environment.

Eurofix: Test Results of a Cost-Effective DGNSS Augmentation System

1997 ◽  
Vol 50 (2) ◽  
pp. 209-223 ◽  
Author(s):  
G. W. A. Offermans ◽  
A. W. S. Helwig ◽  
D. van Willigen
Keyword(s):  
Navigation System ◽  
Forward Error Correction ◽  
Low Cost ◽  
Real Life ◽  
Cost Effective ◽  
Error Correcting Codes ◽  
Integrated Navigation ◽  
Large Area ◽  
Integrated Navigation System ◽  
Forward Error

Eurofix is an integrated navigation system, which combines Differential GNSS and Loran-C. The Loran-C system is used to provide differential corrections for the GNSS pseudo-range measurements and integrity information by additionally modulating the transmitted signals. This modulation, however, is not allowed to degrade normal Loran-C operations. As data transmission is hindered by the aggressive Loran-C signal environment, special modulation patterns and Forward Error Correcting codes are designed to fulfil the requirements. Compared to other DGNSS services, Eurofix has a number of advantages: It covers a large area, its implementation in an already existing infrastructure is basically low-cost, it offers enhanced datalink availability in urban and mountainous environment, it has wide-area capabilities and, finally, it provides a free backup navigation system in case either Loran-C or GPS fails.The paper describes the Eurofix system, focusing on the Loran-C data channel. A modified RTCM type-9 message format is used with special Forward Error Correction. At Delft University a real-life test set-up has been built to evaluate the Eurofix performance for different scenarios. The results on datalink and DGNSS performance are presented. It is shown that metre-level DGNSS performance is achievable with low bit rate data channels, using Loran-C stations at up to 1000 km distance.

Janus – A New Approach to Air Combat Pilot Training

2019 ◽  
Vol 2019 (4) ◽  
pp. 7-22
Author(s):  
Georges Bridel ◽  
Zdobyslaw Goraj ◽  
Lukasz Kiszkowiak ◽  
Jean-Georges Brévot ◽  
Jean-Pierre Devaux ◽  
...  
Keyword(s):  
Low Cost ◽  
Cost Effective ◽  
High Energy ◽  
Training System ◽  
Embedded Sensors ◽  
Pilot Training ◽  
New Approach ◽  
Combat Aircraft ◽  
Air Combat ◽  
The Cost

Abstract Advanced jet training still relies on old concepts and solutions that are no longer efficient when considering the current and forthcoming changes in air combat. The cost of those old solutions to develop and maintain combat pilot skills are important, adding even more constraints to the training limitations. The requirement of having a trainer aircraft able to perform also light combat aircraft operational mission is adding unnecessary complexity and cost without any real operational advantages to air combat mission training. Thanks to emerging technologies, the JANUS project will study the feasibility of a brand-new concept of agile manoeuvrable training aircraft and an integrated training system, able to provide a live, virtual and constructive environment. The JANUS concept is based on a lightweight, low-cost, high energy aircraft associated to a ground based Integrated Training System providing simulated and emulated signals, simulated and real opponents, combined with real-time feedback on pilot’s physiological characteristics: traditionally embedded sensors are replaced with emulated signals, simulated opponents are proposed to the pilot, enabling out of sight engagement. JANUS is also providing new cost effective and more realistic solutions for “Red air aircraft” missions, organised in so-called “Aggressor Squadrons”.

PyDOSS: An open-source Python-based communicable disease outbreak surveillance system designed and used in a COVID-19 community care facility (Preprint)

2020 ◽  
Author(s):  
Andrew Fang ◽  
Jonathan Kia-Sheng Phua ◽  
Terrence Chiew ◽  
Daniel De-Liang Loh ◽  
Lincoln Ming Han Liow ◽  
...  
Keyword(s):  
Open Source ◽  
Surveillance System ◽  
Community Care ◽  
Communicable Disease ◽  
Low Cost ◽  
Real Life ◽  
Disease Outbreak ◽  
Disease Spread ◽  
Healthcare Team ◽  
Increased Risk

BACKGROUND During the Coronavirus Disease 2019 (COVID-19) outbreak, community care facilities (CCF) were set up as temporary out-of-hospital isolation facilities to contain the surge of cases in Singapore. Confined living spaces within CCFs posed an increased risk of communicable disease spread among residents. OBJECTIVE This inspired our healthcare team managing a CCF operation to design a low-cost communicable disease outbreak surveillance system (CDOSS). METHODS Our CDOSS was designed with the following considerations: (1) comprehensiveness, (2) efficiency through passive reconnoitering from electronic medical record (EMR) data, (3) ability to provide spatiotemporal insights, (4) low-cost and (5) ease of use. We used Python to develop a lightweight application – Python-based Communicable Disease Outbreak Surveillance System (PyDOSS) – that was able perform syndromic surveillance and fever monitoring. With minimal user actions, its data pipeline would generate daily control charts and geospatial heat maps of cases from raw EMR data and logged vital signs. PyDOSS was successfully implemented as part of our CCF workflow. We also simulated a gastroenteritis (GE) outbreak to test the effectiveness of the system. RESULTS PyDOSS was used throughout the entire duration of operation; the output was reviewed daily by senior management. No disease outbreaks were identified during our medical operation. In the simulated GE outbreak, PyDOSS was able to effectively detect an outbreak within 24 hours and provided information about cluster progression which could aid in contact tracing. The code for a stock version of PyDOSS has been made publicly available. CONCLUSIONS PyDOSS is an effective surveillance system which was successfully implemented in a real-life medical operation. With the system developed using open-source technology and the code made freely available, it significantly reduces the cost of developing and operating CDOSS and may be useful for similar temporary medical operations, or in resource-limited settings.

Low Cost Point to Point Navigation System

2021 ◽  
Author(s):  
Giuseppe Spampinato ◽  
Arcangelo Bruna ◽  
Davide Giacalone ◽  
Giuseppe Messina
Keyword(s):  
Navigation System ◽  
Low Cost ◽  
Point To Point

scholarly journals Stories, journeys and smart maps: an approach to universal access

2021 ◽  
Author(s):  
Xi Wang ◽  
Danny Crookes ◽  
Sue-Ann Harding ◽  
David Johnston
Keyword(s):  
Universal Access ◽  
Low Cost ◽  
Research Question ◽  
Emotional Engagement ◽  
New Approach ◽  
Reception Study ◽  
Audio Description ◽  
Museum Experience ◽  
Interactive Map ◽  
Partially Sighted

AbstractThis paper proposes a new approach to universal access based on the premise that humans have the universal capacity to engage emotionally with a story, whatever their ability. Our approach is to present the “story” of museum resources and knowledge as a journey, and then represent this journey physically as a smart map. The key research question is to assess the extent to which our “story” to journey to smart map’ (SJSM) approach provides emotional engagement as part of the museum experience. This approach is applied through the creation of a smart map for blind and partially sighted (BPS) visitors. Made in partnership with Titanic Belfast, a world-leading tourist attraction, the interactive map tells the story of Titanic’s maiden voyage. The smart map uses low-cost technologies such as laser-cut map features and software-controlled multi-function buttons for the audio description (AD). The AD is enhanced with background effects, dramatized personal stories and the ship’s last messages. The results of a reception study show that the approach enabled BPS participants to experience significant emotional engagement with museum resources. The smart model also gave BPS users a level of control over the AD which gave them a greater sense of empowerment and independence, which is particularly important for BPS visitors with varying sight conditions. We conclude that our SJSM approach has considerable potential as an approach to universal access, and to increase emotional engagement with museum collections. We also propose several developments which could further extend the approach and its implementation.

scholarly journals MEMS Based SINS/OD Filter for Land Vehicles’ Applications

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Huisheng Liu ◽  
Zengcai Wang ◽  
Susu Fang ◽  
Chao Li
Keyword(s):  
Navigation System ◽  
Velocity Measurement ◽  
Microelectromechanical Systems ◽  
Low Cost ◽  
Detection Algorithm ◽  
Measurement Unit ◽  
Integrated Navigation ◽  
Integrated Navigation System ◽  
Land Vehicles ◽  
Mems Imu

A constrained low-cost SINS/OD filter aided with magnetometer is proposed in this paper. The filter is designed to provide a land vehicle navigation solution by fusing the measurements of the microelectromechanical systems based inertial measurement unit (MEMS IMU), the magnetometer (MAG), and the velocity measurement from odometer (OD). First, accelerometer and magnetometer integrated algorithm is studied to stabilize the attitude angle. Next, a SINS/OD/MAG integrated navigation system is designed and simulated, using an adaptive Kalman filter (AKF). It is shown that the accuracy of the integrated navigation system will be implemented to some extent. The field-test shows that the azimuth misalignment angle will diminish to less than 1°. Finally, an outliers detection algorithm is studied to estimate the velocity measurement bias of the odometer. The experimental results show the enhancement in restraining observation outliers that improves the precision of the integrated navigation system.

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