NDLI: Activity sequence learning in mission critical tasks

Content Provider	IEEE Xplore Digital Library
Author	Caglayan, A. Burke, D. Stroh, L. Das, S.
Copyright Year	2011
Description	Author affiliation: Milcord Waltham, MA, USA (Caglayan, A.; Burke, D.; Stroh, L.) \|\| Machine Analytics, Inc., Belmont, MA Milcord, Waltham, MA (Das, S.)
Abstract	In this paper, we present an interface agent, Commander's Learning Agent (CLearn), that aims to learn a commander's mission model and intent in the form of sequences of activities based on frequency. The major benefits of CLearn include automation of repetitive actions performed by the user and near real-time monitoring of available critical resources leading to alert generation when resource degradation will impact missions dependent upon those resources. We develop and implement passive and active monitoring techniques in conjunction with attribute-based learning and sequential pattern mining. While CLearn is relevant to many applications, including information security management, we describe our sequence learning approach in the context of how it can be used to provide IPB (Intelligence Preparation of the Battlespace) support for planning, operations, and assessment missions in Air and Space Operation Centers (AOCs). We describe in detail our plan to enhance the proposed sequence learning approach to a more robust HMM-based approach to learn sequences of activities at various levels of abstractions. The approach is in line with the network centric command and control structure within the military.
Starting Page	1
Ending Page	8
File Size	441021
Page Count	8
File Format	PDF
ISBN	9781457702679
e-ISBN	9780982443828
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Intl Society of Info Fusion
Subject Keyword	Monitoring Hidden Markov models Internet Servers Automation Real time systems Virtual machining hierarchical HMM Sequence learning commander's intent interface agent
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

Secure Reincarnation of Compromised Servers Using Xen Based Time-Forking Virtual Machines

Real time gestures recognition based on Hidden Markov Models

Credit scheduling and prefetching in hypervisors using Hidden Markov Models

Real time monitoring of tool wear using multiple modeling method

Internet banking fraud detection using HMM

Hmm topology in continuous speech recognition systems

Real-time physical activity monitoring by data fusion in body sensor networks

Mechanical system monitoring using hidden Markov models

Evaluating real-time Java for mission-critical large-scale embedded systems

Activity sequence learning in mission critical tasks

Similar Documents

Secure Reincarnation of Compromised Servers Using Xen Based Time-Forking Virtual Machines

Real time gestures recognition based on Hidden Markov Models

Credit scheduling and prefetching in hypervisors using Hidden Markov Models

Real time monitoring of tool wear using multiple modeling method

Internet banking fraud detection using HMM

Hmm topology in continuous speech recognition systems

Real-time physical activity monitoring by data fusion in body sensor networks

Mechanical system monitoring using hidden Markov models

Evaluating real-time Java for mission-critical large-scale embedded systems

Activity sequence learning in mission critical tasks