NDLI: Development of a three-dimensional model for sensor positioning

Content Provider	IEEE Xplore Digital Library
Author	Shenton-Taylor, C.
Copyright Year	2013
Description	Author affiliation: AWE Plc., Reading, UK (Shenton-Taylor, C.)
Abstract	In the field of radiation detection, detector placement is dependant on the type of radiation detector, end user application, required data fusion and complexity of the system. Homeland Security needs may require a variety of deployment specific configurations; examples include the optimum placement of detectors within a portal rack, or, the positioning of a distributed network of sensors at a particular traffic intersection. This paper details a computational model developed to enable the area of coverage provided by a number of detectors to be rapidly calculated. Starting from a two-dimensional analytical method, a random sequential deposition numerical three-dimensional model is described. By sitting the entire environment on a mesh, the total volume of detector coverage is calculated via a numerical dynamic approach. Comparing the area of detector coverage with the volume traversed by radiological material moving through the environment, estimates of the likelihood of detection as a function of detector coverage were determined. To improve on random deposition, space optimised sequential deposition methods are detailed. Comments are also included on the ability to couple deposition models with machine learning approaches, so enabling intelligent learning for optimised detector placement across a range of deployments.
Starting Page	1
Ending Page	6
File Size	353350
Page Count	6
File Format	PDF
e-ISBN	9781479905348
DOI	10.1109/NSSMIC.2013.6829728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detectors Genetic algorithms Radiation detectors Biological cells Robot sensing systems Approximation methods
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Radiation detection based heterogeneous Wireless Sensor Network

Genetic algorithm based optimal placement of PIR sensor arrays for human localization

Cyclic genetic algorithms for evolving multi-loop control programs

DP-Fusion: A generic framework for online multi sensor recognition

A three-dimensional positioning algorithm for wireless sensor networks based on the ball field intersection

Path planning of robot in three-dimensional grid environment based on genetic algorithms

Anytime planning of optimal schedules for a mobile sensing robot

A Mixed Genetic Algorithm Strategy to Sensor Selection Problem in WSNs

Path planning of a data mule in wireless sensor network using an improved implementation of clustering-based genetic algorithm

Development of a three-dimensional model for sensor positioning

Similar Documents

Radiation detection based heterogeneous Wireless Sensor Network

Genetic algorithm based optimal placement of PIR sensor arrays for human localization

Cyclic genetic algorithms for evolving multi-loop control programs

DP-Fusion: A generic framework for online multi sensor recognition

A three-dimensional positioning algorithm for wireless sensor networks based on the ball field intersection

Path planning of robot in three-dimensional grid environment based on genetic algorithms

Anytime planning of optimal schedules for a mobile sensing robot

A Mixed Genetic Algorithm Strategy to Sensor Selection Problem in WSNs

Path planning of a data mule in wireless sensor network using an improved implementation of clustering-based genetic algorithm

Development of a three-dimensional model for sensor positioning