Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.

Bibliographic Details
Main Author: Sahani, Rohan
Other Authors: Joseph M. Sussman and Anil Bhardwaj.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/40328
_version_ 1811074460635103232
author Sahani, Rohan
author2 Joseph M. Sussman and Anil Bhardwaj.
author_facet Joseph M. Sussman and Anil Bhardwaj.
Sahani, Rohan
author_sort Sahani, Rohan
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.
first_indexed 2024-09-23T09:49:47Z
format Thesis
id mit-1721.1/40328
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T09:49:47Z
publishDate 2008
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/403282019-05-22T03:11:12Z Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework PSM for NEOs based on a three parameter scheme based classification framework Prevention sequence mechanisms for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework PSM for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework Sahani, Rohan Joseph M. Sussman and Anil Bhardwaj. System Design and Management Program. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. System Design and Management Program. Electrical Engineering and Computer Science. System Design and Management Program. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Includes bibliographical references (p. 193-198). There is a significant amount of space debris from previous space endeavors left over by the Russians and the US, leave alone the possibility of collisions with Near Earth Objects (NEOs) like asteroids and comets. Currently, there is no early detection and emergency response system in place. This study will apply the CLIOS (Complex Large Interconnected Open Socio-technical) Process to design and construct novel and unique strategic alternatives for possible detection, defense and tracking systems which are not currently in use. A software application will demonstrate the dynamics of this new classification scheme for Near Earth Objects (NEOs) that would correspond to a set of Prevention Sequence Mechanisms (PSM) which represent a specific sequence of deterrence mechanisms. Potentially dangerous NEOs were classified into various groups that were derived from three different classes based on NEO size, Time-to-Impact (TTI) and chemical composition. For each NEO group, corresponding PSMs were designed. Each PSM illustrates the best possible sequence in which a set of prevention mechanisms (applicable to a specific NEO group of our classification scheme) are to be implemented. A software-package called PDTS 1.0 was designed for tracking and cataloging potentially hazardous NEOs based on the PSM framework and the three-parameter based classification scheme. Through mutual collaboration and segmentation of PSM modules the mitigation effort was optimized. Therefore, in future, if an NEO on collision course with the Earth is detected then the group name of that NEO is found from our classification scheme and the corresponding PSM for that group is implemented to deflect or destroy the NEO. by Rohan Sahani. S.M. 2008-02-27T20:38:59Z 2008-02-27T20:38:59Z 2007 2007 Thesis http://hdl.handle.net/1721.1/40328 191960807 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 198 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
System Design and Management Program.
Sahani, Rohan
Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title_full Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title_fullStr Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title_full_unstemmed Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title_short Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
title_sort prevention sequence mechanisms psm for near earth objects neos based on a three parameter scheme based classification framework
topic Electrical Engineering and Computer Science.
System Design and Management Program.
url http://hdl.handle.net/1721.1/40328
work_keys_str_mv AT sahanirohan preventionsequencemechanismspsmfornearearthobjectsneosbasedonathreeparameterschemebasedclassificationframework
AT sahanirohan psmforneosbasedonathreeparameterschemebasedclassificationframework
AT sahanirohan preventionsequencemechanismsfornearearthobjectsneosbasedonathreeparameterschemebasedclassificationframework
AT sahanirohan psmfornearearthobjectsneosbasedonathreeparameterschemebasedclassificationframework